Data Scientist Jobs in River Edge, NJ

Glocomms has partnered with a global tech organization dedicated to transforming lives through spoken-word entertainment. They work with top creators to produce and share audio stories with millions of listeners worldwide. In this role, you will lead the core playback logic from start to finish, ensuring the best playback experience across Android, iOS, and Web platforms. This includes managing content delivery infrastructure, security, digital rights management, and real-time processing of listening data. You'll also spearhead initiatives to advance the state of the art in Internet Audio Team Overview Our data science team partners with marketing, content, product, and technology teams to solve challenges using advanced ML, DL, and NLP techniques. We operate in an agile environment, managing the lifecycle of research and model development. Responsibilities Optimize customer interactions with validated models Create data engineering pipelines Innovate with cutting-edge applications Develop data visualizations Collaborate with data scientists, ML experts, and engineers Share ideas and learn from the team Basic Qualifications Experience in modeling and research design MS in a quantitative field or PhD with relevant experience Proficiency in SQL and Python Experience with AWS and Big Data Engineering Agile Software Development experience Preferred Qualifications Expertise in paid and organic marketing Experience with container platforms and streaming data Proficiency in R, RShiny, and Scala

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.

Spectrum Reach (********************** is the advertising sales division of Charter Communications. We grow businesses of all sizes with custom, multiscreen advertising solutions.The Data Science team at Spectrum Reach is a high performing and highly collaborative group of data engineers and data scientists. We build AI/ML forecast and optimization models to support our advertising sales business, and the pipelines to enable those models throughout their lifetimes. We are supported by a separate, dedicated data team that develops and maintains the ETL to bring data from source systems to the corporate data warehouse where our work starts. We deal with demanding modeling problems and vast amounts of data, with all the challenges those present, but within the context a strong and respected team where solid skills and good work are appreciated and acknowledged. If that aligns with your experience and interest, wed love to hear from you. Responsible for developing and maintaining scalable, reliable, and consistent systems that support data operations for data science, analytics, applications, and reporting by gathering and processing raw data at scale. Profiles data to measure quality, integrity, accuracy, and completeness and delivers solutions by developing, testing, and implementing code and scripts. Develops processes for data modeling, mining, and consumption. MAJOR DUTIES AND RESPONSIBILITIES Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity Collaborates with data, data science and business teams to improve data models that feed AI/ML models, applications, and business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it Writes unit/integration tests, contributes to engineering wiki, and documents work Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues Works closely with data scientists, frontend and backend engineers, analysts, and product managers Designs data integrations and data quality framework Identifies and evaluates open source and vendor tools for data lineage Works closely with business units and engineering teams to develop strategy for long term data platform architecture REQUIRED QUALIFICATIONS Proficiency with cloud based services Proficiency in coding/scripting and in the use of code repositories Proficiency with SQL ETL techniques and familiarity with data platforms such as Terradata, Databricks and Snowflake Proficiency dealing with big data Proficiency with data workflow/data prep platforms, such as Airflow, Infomatica, Pentaho, or Talend Basic background in Linux/Unix/CentOS or Windows installation and administration Familiarity with rest, soap, RPC, and gRPC API protocols Exposure to visualization or BI tools, such as Tableau and Looker Exposure to AI/ML libraries and tooling, such as Sklearn and TensorFlow Familiarity with agile work practices and frameworks Ability to identify and resolve end-to-end performance, network, server, and platform issues Attention to detail with the ability to effectively prioritize and execute multiple tasks PREFERRED QUALIFICATIONS Advanced knowledge of SQL and SQL optimization techniques Experience with Snowflake Experience with Airflow and with Spark Proficiency coding with Python and shell scripts, experience with GIT Proficiency in the AWS cloud environment Experience working and/or certification in SAFe Knowledge of best practices and IT operations in always-up, always-available services Experience with Tableau and/or Looker Experience in advertising sales, cable or related industries Education Degree in an engineering discipline or computer science, or related field, or equivalent work experience, Master of Science preferred. EGN620 2025-49914 2025 Here, employees dont just have jobs, they build careers. Thats why we believe in offering a comprehensive pay and benefits package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life. A qualified applicants criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. The base pay for this position generally is between $100,600.00 and $214,200.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet, TV, Mobile and Voice, Spectrum Networks, Spectrum Business and Spectrum Reach. When you join us, youre joining a strong community of 95,000 employees working together to serve nearly 32 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more. Who You Are Matters Here Were committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets. Learn about our inclusive culture. RequiredPreferredJob Industries Other

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!

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

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

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.

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.