Data Scientist Jobs in Great Neck, NY

We are building a world class systematic data platform which will power the next generation of our systematic portfolio engines. The systematic data group is looking for a Data Scientist to join our growing team. The team consists of content specialists, data scientists, analysts and engineers who are responsible for discovering, maintaining and analyzing sources of alpha for our portfolio managers. This is an opportunity for individuals who are passionate about quantitative investing. The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets. Principal Responsibilities Research potential alpha sources, and present to portfolio managers and quantitative analysts Utilize and maintain world-class data processing and transformation engines Build technology tools to acquire and tag datasets Engage with vendors, brokers to understand characteristics of datasets Interact with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximize their profitability Analyze datasets to generate key descriptive statistics Qualifications/Skills Required Ph.D. or Masters in computer science, mathematics, statistics or other field requiring quantitative analysis 3 + years of financial industry experience preferred Programming expertise in Python, C++, Java or C# Programming skills in SQL, PL-SQL or T-SQL Strong problem-solving skills Strong communication skills

Scalata is an AI-driven finance automation platform located in New York, NY. Our vision is to democratize investment data using generative AI to empower credit decision making. We aim to drive global economic growth, foster financial inclusion, and create a positive ripple effect that empowers businesses, communities, and economies worldwide. NEW YORK ONLY BASED "NO RELOCATION OR REMOTE PLEASE DO NOT APPLY OTHERWISE " Senior Data Scientist - Generative AI - Agents and LLM developer Role Description This is a full-time on-site role for a Data Scientist specializing in Machine Learning and Artificial Intelligence with a focus on Natural Language Processing/Understanding. The Data Scientist will be responsible for tasks such as data analysis, statistical modeling, data visualization, and implementing AI models to automate the credit lifecycle. Qualifications Data Science Data Analytics and Data Analysis skills Experience in Data Visualization Strong programming skills in Python, PySpark Extensive knowledge of Machine Learning and Artificial Intelligence algorithms Highly skilled development of Agents using Langchain or other frameworks and chatbot management software development Practical knowledge and experience in building large language models Experience with Natural Language Processing Strong problem-solving and critical thinking abilities Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or related field

About the Job: As a Lead Data Scientist, you will transform complex data into actionable insights using advanced quantitative methods. You will analyze and interpret large datasets to inform business decisions, and craft compelling presentations to drive business strategy and optimize customer engagement. A Day in the Life: Provide actionable insights to stakeholders through data analysis, research, and modeling. Integrate and manage internal and external data sources, including structured and unstructured data. Develop and apply advanced quantitative methods, including statistical models and machine learning techniques. Analyze customer behavior and market trends to inform business strategies and optimize ROI. Prepare and deliver clear, insightful presentations to various audiences. Conduct multi-channel analysis, leveraging online and offline data to drive business decisions. Mentor and manage junior data scientists, guiding workflow and development. What You Will Need: Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or other natural sciences (Master's degree preferred). 5+ years of experience in open-source programming, applied statistics, and machine learning. Proven expertise in relational database management, data wrangling, and statistical analysis. Excellent communication and presentation skills, with experience presenting to upper management. Strong project and team management skills, with ability to manage workflow of 1-3 data scientists or analysts. Experience integrating data scientific modeling into data visualization platforms (e.g., Tableau, PowerBI). Ability to handle multiple projects, prioritize tasks, and adapt to changing requirements in a fast-paced environment. Our Global Benefits: My Time Off (MTO) - our flexible approach to time off that allows you to take the time you need and enjoy it! Career Progression - we offer personalized development opportunities and clear career pathways. Health and wellbeing programs that provide you access to different services and offerings to prioritize your health. Company Savings Plans to help you plan for the future. Parental Leave benefits for all new parents. Salary $110,000 - $145,000 annually. The salary range for this position is noted within this job posting. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position; market considerations; budgetary considerations; tenure and standing with the company (applicable to current employees); as well as the employee's/applicant's background, pertinent experience, and qualifications. About 90North ************************************* At 90NORTH, a software intelligence company, we harness proprietary software products to uncover unexpected insights and solve complex business problems. Our diverse team of solution architects, comprising social scientists, medical experts, business strategists, and creative technical designers, collaborate to help clients navigate the challenges of exploding data and AI paradigm shifts. We empower informed decision-making and drive impact through our innovative software products, including Intention Decoder and Hate Audit, which reveal the underlying motivations and sentiments behind human behavior. For U.S. Job Seekers It is the policy of IPG Health and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.

Salary: $125 - 200k Base + Equity & Benefits An AI-Powered Startup providing a system of intelligence for life sciences. They're building deep integrations across pharma's data systems to build a layer of artificial intelligence to power broad decision making. The goal is to index the entire universe of pharma data, empower hundred-step AI agents that will drive the next generation of pharma decision-making, and directly impact the rate of progress in both AI and human health. They're partnering with some of the biggest names in pharma and have strong early traction with a healthy pipeline to grow into. Opportunity Data is the lifeblood that powers pharma intelligence, insights, and decision-making. We need to stay up to date on the universe of events happening in pharma and as a Data Engineer you will own and lead data engineering projects including web crawling, data ingestion, data modeling, and search. You will design and build robust, scalable data pipelines to support our AI models. You'll manage databases with focus on optimizing data storage and retrieval, ensuring speed and efficiency. You'll also lead the way to designing data models that best support our users' experience and workflows. What we're looking for.. Experience with Python, Postgres SQL, and AWS A strong track record of building production ready / robust Data Pipelines Experience with multimodal processing of data, as well as chunking, embedding, and vector databases. Prior experience in a Startup environment Sound of interest? - Get in touch!

Our large digital transformation company is seeking a talented and experienced Data Engineer to join our team, specializing in Databricks and the financial industry. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data pipelines and infrastructure through data bricks to support financial clients' data-driven initiatives. Key Responsibilities Include: - Architect and design end-to-end data solutions using Databricks to process and analyze large-scale financial data. - Collaborate with stakeholders to understand business requirements and translate them into technical solutions. - Develop and implement data integration, transformation, and validation processes to ensure data accuracy and consistency. - Lead the development and optimization of ETL pipelines to ingest data from various sources into data lakes and warehouses. - Ensure the reliability, performance, and scalability of data architectures. Must haves: 7+ years in data architecture helping to design solutions within financial industry Strong proficiency in SQL, Python, and Spark Deep understanding of data warehousing concepts and technologies (e.g., Snowflake, Redshift). Databricks Certified

Job Title: Data Engineer (Databricks, ETL, Data & AI Platforms) Job Type: Contract (40 hours a week) We are working with a financial services firm that specializes in providing insights and analytics for banks, lenders, and other financial institutions. Their core focus is helping clients optimize their pricing, profitability, and customer engagement strategies through advanced data analysis and market intelligence We are looking for a skilled and motivated Data Engineer with 3 years of expertise in Databricks, ETL processes, and building scalable data and AI platforms. This role is pivotal in supporting the migration of products and will involve designing, implementing, and optimizing data pipelines to ensure seamless data integration across various systems. The ideal candidate will be passionate about leveraging cutting-edge technology to build robust and efficient data systems to power business intelligence, analytics, and AI-driven initiatives. Key Responsibilities: Databricks Development: Design, build, and optimize scalable data pipelines using Databricks to process large datasets and integrate various data sources into a unified data platform. ETL Pipelines: Develop and manage ETL processes to ingest, transform, and load data from diverse sources (on-premise and cloud-based) into data lakes or data warehouses. Ensure data quality, consistency, and integrity throughout the entire pipeline. Platform Development: Build and maintain data and AI platforms, ensuring that they are secure, efficient, and capable of handling high volumes of data. Collaborate closely with AI/ML teams to enable seamless integration of models into production systems. Product Migration Support: Assist in the migration of legacy systems and products to modern cloud-based data solutions. Ensure smooth data transfer, transformation, and system integration during the migration process. Data Modeling: Collaborate with data scientists, analysts, and business stakeholders to design and implement appropriate data models for business intelligence and machine learning workloads. Optimization and Monitoring: Optimize performance of data pipelines and platforms for speed and cost-effectiveness. Continuously monitor the health of data systems, troubleshoot issues, and implement improvements. Collaboration and Documentation: Work closely with cross-functional teams including data scientists, DevOps, and product managers to ensure alignment with business needs and best practices. Maintain comprehensive documentation for all data engineering processes, pipelines, and systems. Security and Compliance: Ensure all data solutions meet security, privacy, and compliance standards. Implement proper access controls and data governance measures. Key Skills & Qualifications: Databricks: Proven experience working with Databricks, including developing and managing notebooks, jobs, and clusters, as well as leveraging Spark for distributed data processing. ETL Tools and Frameworks: Strong experience with ETL technologies (e.g., Apache Airflow, AWS Glue, or Azure Data Factory), and proficiency in building end-to-end data pipelines. Data Integration: Expertise in integrating structured and unstructured data from multiple sources, including relational databases, APIs, and cloud-based data sources. Cloud Technologies: Experience with cloud platforms such as AWS, Azure, or Google Cloud, including data storage services (e.g., S3, Blob Storage, BigQuery) and compute services. Data Warehousing: Experience with modern data warehousing solutions such as Snowflake, Redshift, or BigQuery. Programming Languages: Proficient in Python, Scala, or Java for building data pipelines, along with knowledge of SQL for querying and managing relational databases. AI/ML Collaboration: Familiarity with data science and machine learning concepts, with experience enabling AI workflows on data platforms. Problem-Solving: Strong troubleshooting, debugging, and performance optimization skills. Communication: Excellent communication and collaboration skills, able to work effectively with stakeholders at all levels of the organization. Preferred Qualifications: Experience with automated deployment pipelines and CI/CD in data engineering workflows. Familiarity with data governance tools and frameworks (e.g., Apache Atlas, AWS Lake Formation). Experience with containerization technologies such as Docker and Kubernetes. Knowledge of data security principles and best practices in a cloud-based environment.

Key Responsibilities: Collaborate with various management teams to ensure proper integration of functions to achieve goals and identify necessary system enhancements for new products and process improvements. Address a variety of high-impact problems/projects through detailed evaluation of complex business and system processes, as well as industry standards. Provide expertise in applications programming and ensure that application design aligns with the overall architecture blueprint. Utilize advanced knowledge of system flow to develop standards for coding, testing, debugging, and implementation. Develop a thorough understanding of how different business areas, such as architecture and infrastructure, work together to achieve business objectives. Conduct in-depth analysis with interpretive thinking to identify issues and develop innovative solutions. Act as an advisor or coach to mid-level developers and analysts, assigning work as needed. Assess risks appropriately when making business decisions, ensuring compliance with applicable laws, rules, and regulations, adhering to policies, applying sound ethical judgment, and managing and reporting control issues transparently. Qualifications: 6-10 years of relevant experience in application development or systems analysis, with expertise in Pyspark, SQL, and Python. Extensive experience in system analysis and software application programming. Proven track record in managing and implementing successful projects. Subject Matter Expert (SME) in at least one area of application development. Ability to quickly adjust priorities as needed. Demonstrated leadership and project management skills. Clear and concise written and verbal communication skills. Education: Bachelor's degree or equivalent experience. Desired Skills and Experience Python SQL Pyspark Data Architecture Application Development

Data Tech team is looking for a Data Engineer to join a diverse team dedicated to providing best in class data services to our customers, stakeholders and partners. As a part of our organization, you will work with our Client Engineers, Data Scientist and various BUs to define solutions for operationalizing data-driven decision making in a cost effective and scalable manner. Primary skillset: Aws, Glue, step functions, Python, Redshift Qualifications: Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises AWS Solutions Architect or AWS Big Data Certification preferred Programming experience with Java, Python/ Scala, Shell scripting Solid experience of AWS services such as CloudFormation, S3, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc. Solid experience implementing solutions on AWS based data lakes Experience implementing metadata solutions leveraging AWS non-relational data solutions such as ElastiCache and DynamoDB Experience in AWS data lake, data warehouse and business analytics Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS Knowledge of ETL/ ELT Working experience with Hadoop, HDFS, SQOOP, Hive, Python, and Spark is desired Experience working on Agile projects Requirements : 3 - 5 years of experience as Data Engineer Experience developing business applications using NoSQL/ SQL databases. Experience working with Object stores (S3) and JSON is must have Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, ElasticSearch. Serverless application development using AWS Lambda. Responsibilities: Designing, building and maintaining efficient, reusable and reliable architecture and code Ensure the best possible performance and quality of high scale web applications and services Participate in the architecture and system design discussions Independently perform hands on development and unit testing of the applications Collaborate with the development team and build individual components into complex enterprise web systems Work in a team environment with product, frontend design, production operation, QE/ QA and cross functional teams to deliver a project throughout the whole software development cycle Responsible to identify and resolve any performance issues Keep up to date with new technology development and implementation Participate in code review to make sure standards and best practices are met Plus Experience with business intelligence tools such as Tableau, Power BI or equivalent Aware of Machine learning algorithms (supervised/unsupervised) Nice to have AWS developer certificate

The Principal Data Consultant is expected to participate in complex and multidisciplinary data and BI projects. You will be working with our consulting team designing, implementing, and deploying data centered solutions to a wide variety of clients across industry verticals and products. Candidates for this role should possess knowledge of the Data integration, DW and BI capabilities (both functional and technical). Candidates should have experience migrating & integrating data between different platforms and can act as a knowledgeable liaison with business stakeholders and project teams. Additionally, the candidate should have the ability to uncover business requirements, develop a technical strategy and be able to create and effectively demonstrate solutions that address customer requirements. This is a hybrid role that will require travel into the Mumbai office twice a week starting in the first half of 2025. Responsibilities Include: Synthesize information to produce impactful visual presentations that assist decision-makers Support the build of Data Warehouses, Data Marts and Operational Data Stores Identify data needs, providing guidance on how to extract, transform and load data, and recommend approaches to integrate with master data Collaborate with project team for data migration testing and resolving defects Produce highly detailed document artifacts and maintain them for the duration of projects Be able to translate functional specifications into ETL packages for Data integration/migration Perform data profiling and analysis. Develop data lineage and source to target mapping Partner with the client for data extraction and cleansing Conduct data mapping , data loading and create release management plans for complex migrations Provide input and feedback regarding ETL processes. Demonstrate ability to learn and research advanced data technologies and concepts, learning new skills and software as necessary Basic Qualifications: Requires Bachelor's degree in Computer Science, Software Engineering, Management Information Systems, or a related field, plus five years of experience with Salesforce development or equivalent combination of education and experience 8+ years' experience in data engineering working on different BI and ETL tools Proficient with BI Analytics applications like Tableau, PowerBI, Cognos, etc Hands on experience with ETL tools like SSIS, Informatica, Talend, etc Hands on experience with Data Warehouse tools like Snowflake, Amazon Redshift etc Experience with database systems (MS SQL, Oracle, MySQL, etc.) and query languages (T-SQL, PL/SQL, etc.) Exposure in data extraction, transformation, and data loading techniques Experience creating and using Entity Relationship and Data Flow diagrams to communicate complex migration and transformations to clients Experience with the complete software project lifecycle, recognizing the importance of data conversion and the time commitment involved Must have experience working in projects with Agile Management process Experience working with Salesforce CRM and Netsuite ERP systems is desirable Passion for data accuracy and completeness Can work in a fast-paced, fast-growth environment and manage priorities across multiple concurrent activities #J-18808-Ljbffr

Senior Big Data Engineer (PySpark & Hadoop) HIRING DRIVE - DAY of INTERVIEW - Thurs, 03/13 and Fri, 03/14 - all interviews will be conducted on these days. Job Description: We are seeking an experienced Senior Big Data Engineer with a strong background in PySpark and Hadoop to join our direct client in the banking industry. The ideal candidate will have a deep understanding of large-scale data processing and optimization, along with hands-on experience in building high-performance data solutions. Key Responsibilities: Minimum 8+ years of experience in big data development using PySpark within the banking/financial sector. Expertise in designing, developing, and optimizing large-scale data processing applications to ensure performance and efficiency. In-depth proficiency with PySpark and the Apache Spark ecosystem for distributed data processing. Strong programming skills in Python with a focus on PySpark. Comprehensive understanding of Hadoop architecture, Hive, and HDFS for data storage and retrieval. Advanced proficiency in SQL development, including query optimization and performance tuning for high-volume data processing. This role is a great fit for someone who thrives in banking and financial environments, handling complex data pipelines and optimizing large-scale big data applications. “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

This role is for candidates who can work on W2 About the Company: A large-scale project that would process 100s TB of ERP data and other relevant data. Auditors would use this processed information to opine on the client engagements and provide value-added services to their clients. The project currently uses Azure data technologies and Databricks. About the Role: We are looking for an experienced professional with at least 6+ years of hands-on experience with Databricks technology. Responsibilities: Design, build, and manage scalable data architectures using Databricks and Azure data technologies. System Design and implement modern data lakehouse solutions, ensuring seamless data integration, storage, and processing. Collaborate with cross-functional teams to gather and translate business requirements into effective technical designs. Ensure data quality and governance practices are implemented throughout the data lifecycle. Optimize data workflows for performance, reliability, and security using Azure one lake, Databricks Workflow and Databricks Compute, Unity catalog, Azure Synapse and Powerbi. Develop and enforce best practices in data modeling, pipeline design, and storage architecture. Conduct regular assessments of data systems to identify and address performance bottlenecks or areas for improvement. Qualifications: 10+ Years of total IT experience in Data engineering and Data warehouse project development. Required Skills: 6+ years of hands-on experience with Azure Databricks and expertise in PySpark & Python development. Proven expertise in designing and managing scalable data architectures. Experience in Databricks Serverless is plus. 6+ years' experience with Azure Synapse, Data Factory, and other Azure data technologies. 8+ years' experience in data modeling, 6+ Years experience with Data pipelines design and implementation, and cloud storage architecture. Deep understanding of data quality and governance practices, and hands-on with Data quality and governance using Unity catalog or azure purview. Ability to collaborate with cross-functional teams and translate business requirements into technical designs. Preferred Skills: Familiarity with other modern data processing tools and technologies. Previous experience in a similar role working with large-scale data systems.

On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working for Disney Entertainment & ESPN Technology Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. The Data Reliability Engineering team for Disney's Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment's big data platform, which processes hundreds of terabytes of data and billions of events daily. About The Role The Lead Data Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of their critical data pipelines and deliverables. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company's revenue. You will be making an outsized impact in an organization that values data as its top priority. We are a tight and driven team with big goals, so we seek people who are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment. We also support a healthy work-life-balance. Responsibilities Assist in designing and developing a platform to support incident observability and automation. This team will be required to build high quality data models and products that monitor and reports on data pipeline health and data quality. Lead project work efforts internally and externally setting project deliverables, review design documents, perform code reviews and help mentor junior members of the team. Collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure. Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure to achieve early and automated anomaly detection and alerting. Present your research and insights to all levels of the company, clearly and concisely. Build solutions to continually improve our software release and change management process using industry best practices to help DSS maintain legal compliance. Basic Qualifications 7+ years of experience working on mission critical data pipelines and ETL systems. 7+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Detailed problem-solving approach, coupled with a strong sense of ownership and drive A passionate bias to action and passion for delivering high-quality data solutions Expertise with common Data Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration tools such as Airflow Deep understanding of end-to-end pipeline design and implementation. Attention to detail and quality with excellent problem solving and interpersonal skills Preferred Qualifications Advanced degrees are a plus. Strong data visualizations skills to convey information and results clearly Ability to work independently and drive your own projects. Exceptional interpersonal and communication skills. Impactful presentation skills in front of a large and diverse audience. Experience with DevOps tools such as Docker, Kubernetes, Jenkins, etc. Innate curiosity about consumer behavior and technology Experience with event messaging frameworks like Apache Kafka A fan of movies and television is a strong plus. Required Education Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Additional Information #DISNEYTECH The hiring range for this position in Santa Monica, California is $152,200 to $204,100 per year, in Bristol, Connecticut is $152,200 to $204,100 per year, in Seattle, Washington is $159,500 to $213,900 per year. in New York City, NY is $159,500 to $213,900 per year, and in San Francisco, California is $166,800 to $223,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. #J-18808-Ljbffr

4 to 10 years with experience as a Process Analyst SME in DW domain with at least 2-3 years of experience working on Celonis Customer project-based experience working as an Analyst or Data Engineer on Celonis implementations Celonis Analyst Data Engineer. Certified Knowledge of real-time business cases in Process Mining. Proficiency with SQL or other programming languages (Python) and a strong interest in Data Mining and Process Mining. Proficiency with UNIX/Shell scripting. Writing SQL queries and shell scripts for Data acquisition. Strong understanding of execution-oriented solutions in Celonis. Excellent analytical skills well organized and known for being a quick learner. Strong communication skills and enjoy interacting with various customers to understand and interpret business processes. If your Interested, please share us your resume on **************************** Life At Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant **************************************************************************

Lead Data Engineer, Data ReliabilityJob ID 10103077 Location Santa Monica, California, United States / Bristol, Connecticut, United States / San Francisco, California, United States / New York, New York, United States / Seattle, Washington, United States Business Disney Entertainment & ESPN Technology Date posted Jan. 21, 2025Job Summary: On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. The Data Reliability Engineering team for Disney's Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment's big data platform, which processes hundreds of terabytes of data and billions of events daily. The Lead Data Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of their critical data pipelines and deliverables. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company's revenue. We seek people who are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment. Assist in designing and developing a platform to support incident observability and automation. Lead project work efforts internally and externally setting project deliverables, review design documents, perform code reviews and help mentor junior members of the team. Collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure. Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure. Build solutions to continually improve our software release and change management process. Minimum Qualifications: 7+ years of experience working on mission critical data pipelines and ETL systems. 7+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake. Expertise with common Data Engineering languages such as Python, Scala, Java, SQL. Experience with workflow orchestration tools such as Airflow. Deep understanding of end-to-end pipeline design and implementation. Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study. #DISNEYTECH #J-18808-Ljbffr

1. 12+ Years of Experience in Banking Data Modeling & Minimum 5 Years of Experience Security Services (Custody, Fund Services, Transfer Agency, Security Lending and Market Risk) Data Modeling 2. Minimum 2 Data Modeling Experience for Custody Sub Domains (Security, Cash, FX, Asset Servicing, Tax and Master Reference Data) 3. Design Global Unified Data Model Conceptual, Logical and Physical Data Model for Custody and Model should be able to support multiple markets 4. Create Data Dictionary for concluded Data Models 5. Experience in Creating ER Diagram (All Relationship) 6. Understand ISO Standards for Security Services Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ( LTIM ): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office: In order to comply with LTIMindtree s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree s applicable processes.

IntePros Inc is looking for a Business Intelligence Engineer (BIE) to be a key partner in driving insights and reporting that support our growing suite of advertising products. As a BIE, you will extract value from large and complex data sets, influence business decisions, and support the evolution of products. You will play a crucial role in streamlining metric reporting for our operating cadences, such as daily, weekly, and monthly business reviews. The ideal candidate is a self-starter who thrives in ambiguity, takes ownership of initiatives, and has a bias for action in delivering business impact through data analytics. You will work closely with internal and external stakeholders, balancing independent work with collaboration in a highly communicative, office-based team environment. Key Responsibilities: Own the design, development, and maintenance of ongoing metrics, reports, dashboards, and analyses to drive key business decisions. Recommend new metrics, techniques, and strategies to improve team performance and future measurement. Define data elements and data structures to enable analytical and reporting capabilities for business development teams. Design and implement operational best practices for reporting and analytics, enabling scalability. Prepare and present business reviews to senior management, highlighting progress and roadblocks. Work with engineering teams and data warehouses to capture and store key data points effectively. Aggregate data from multiple sources and deliver it in a digestible, actionable format for decision-making. Participate in strategic and tactical planning discussions. Daily Responsibilities: ETL processes - Data manipulation, transformation, ingestion from internal ad sales sources. Prepare data marts and support Tableau dashboards for finance teams. Focus on maintaining and enhancing ~2 Tableau dashboards while collaborating with the team. Participate in LCSUS organization stakeholder engagement (~90% core stakeholder). Attend biweekly/weekly business review calls with leadership. Work independently on assigned tasks with structured team collaboration and prioritization meetings every other day. Less involvement in deep data dives or dashboard feature development-focus on refining existing dashboards and integrating new data. Qualifications: SQL - Ability to retrieve, manipulate, and optimize large datasets. Tableau experience - Building, maintaining, and enhancing dashboards for business insights. Strong communication skills in a data-driven environment (data mart design, analytics). Preferred: Bachelor's Degree in Math, Statistics, Computer Science, or Marketing. Master's Degree preferred. Experience working with advertising analytics, finance teams, and internal stakeholders.

Job Title: Snowflake Data Engineer / Snowflake Admin/Data Analyst Job Summary: The Snowflake Data Engineer is responsible for designing, implementing, and optimizing data solutions using the Snowflake Data Cloud platform. This role involves managing Snowflake environments, ensuring data security, and performing data analysis to support business decision-making. This role will require the individual to be able to function effectively as an Snowflake administrator as well as a be able to produce insights that will help with the management and growth of the business. Key Responsibilities: Database Management: Configure and maintain Snowflake environments, including warehouses, databases, and other objects. Ensure optimal performance and cost-efficiency. Data Security: Implement and manage security measures within Snowflake, including data encryption, access controls, and network policies. Ensure compliance with data protection regulations. Data Integration: Develop and manage data pipelines to extract, transform, and load (ETL) data into Snowflake from various sources. Performance Optimization: Monitor and optimize the performance of Snowflake environments, including query performance tuning and resource management. Data Analysis: Perform detailed data analysis using Snowflake to identify trends, patterns, and insights. Develop and maintain dashboards, reports, and visualizations. Collaboration: Work closely with cross-functional teams to understand data requirements and deliver insights. Provide technical support and training to users on Snowflake features. Documentation: Document database schemas, configurations, procedures, and best practices. Maintain data catalogs and dictionaries. Cost Management: Monitor and optimize Snowflake credit usage to control costs without compromising performance. Qualifications: Education: Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field. Experience: 3-5 years of relevant professional experience as a Data Engineer, Database Administrator, or Data Analyst, preferably with experience in Snowflake. Skills: Strong proficiency in SQL and data analysis tools. Familiarity with Snowflake's architecture and features. Experience with data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R) is a plus. Certifications: Relevant certifications in data engineering, database administration, or Snowflake are advantageous such as “SnowPro Advanced: Data Analyst” Preferred Attributes: Strong analytical and problem-solving skills Excellent communication and collaboration skills Ability to work independently and as part of a team Attention to detail and a commitment to data accuracy Supporting system documentation and workflow diagrams

9+ years of experience in IT development project Strong Experience in Tableau development and Good data analytics skills. Strong understanding of visual analytics and ability to design efficient workbooks. Experience with agile development methodologies Quick learner and strong work ethics is important to be successful in this role.Good to have - Knowledge of Hadoop ecosystem (especially spark, hive). Solid knowledge in writing advanced SQL queries Analyze data in Google Big Query through SQL.

Job Classification: Technology - Data Analytics & Management As the Global Asset Management business of Prudential, we're always looking for ways to improve financial services. We're passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world. We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you'll unlock a motivating and impactful career - all while growing your skills and advancing your profession at one of the world's leading global asset managers! If you're not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that's investing in your future by shaping tomorrow today. At PGIM, You Can! PGIM Data Science is a newly established team and you will join it as key founding member. As the Data Scientist for PGIM, you play a leading role in shaping and executing PGIM's data-driven strategy, specifically in asset management area. You will partner with other cross-functional teams, data engineers, financial analysts and business leaders to shape the future of PGIM's data landscape. This role leads the development of advanced data science projects and data driven insights to significantly elevate business outcomes. You will solve meaningful business problems using generative AI, and advanced machine learning models. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and/ from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis 3 days per week and can change based on future updates to the company's in-office presence policy. Responsibilities * Lead the development and optimization of Generative AI (Gen AI) models, including LLM fine-tuning, Retrieval-Augmented Generation (RAG), and AI-driven quantitative research. * Research and implement AI-related strategies, leveraging LLMs, NLP, and alternative data sources to drive investment decisions. * Develop and integrate machine learning-based market models, optimizing business growth and profitability. * Collaborate with engineering, and investment teams to deploy production-ready AI solutions for financial applications. * Optimize AI models for efficiency, leveraging advanced techniques such as quantization, low-rank adaptation (LoRA), and knowledge distillation. * Stay at the forefront of Gen AI innovations to enhance financial insights and drive automation in portfolio management. Qualifications * PhD or Master's degree in Computer Science, Machine Learning, Engineering, Applied Mathematics, or comparable quantitative disciplines. * 3+ years of experience in developing LLM, NLP, NLU, NLG, deep learning models, and transformer models, with a focus on developing conversational AI solutions. * 3+ years of experience in retrieval-augmented generation (RAG), vector embeddings, and knowledge graphs. * Hands-on experience with machine learning development and AI explainability methods, i.e. reinforcement learning, transfer learning, counterfactual analysis, model drift detection, adversarial testing, etc., * Preferably 3+ years of experience with model optimization techniques (e.g., distillation, quantization, model pruning). * Preferably strong knowledge of Gen AI application in financial industry, but not required. * Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and distributed computing frameworks. * Hands-on experience integrating alternative data sources, including news analytics, satellite data, and financial reports, into AI-driven trading models. * Excellent documentation, communication and presentation skills, can influence without authority * Team-orient mindset and can-do attitude * * PGIM welcomes all applicants, even if you don't meet every requirement. If your skills align with the role, we encourage you to apply. Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $160,000 - $190,000. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. What we offer you: * Market competitive base salaries, with a yearly bonus potential at every level. * Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave. * 401(k) plan with company match (up to 4%). * Company-funded pension plan. * Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs. * Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. * Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs. * Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. If you need an accommodation to complete the application process, please email accommodations.hw@prudential.com. If you are experiencing a technical issue with your application or an assessment, please email *************************************** to request assistance.