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ETL Lead skills for your resume and career

Updated January 8, 2025
5 min read
Below we've compiled a list of the most critical etl lead skills. We ranked the top skills for etl leads based on the percentage of resumes they appeared on. For example, 6.0% of etl lead resumes contained sql server as a skill. Continue reading to find out what skills an etl lead needs to be successful in the workplace.

15 etl lead skills for your resume and career

1. SQL Server

Here's how etl leads use sql server:
  • Configured Active/Active and Active/passive SQL Server Clusters.
  • Created fact and dimension tables in the OLAP database and created cubes using MS SQL Server Analysis Services (SSAS).

2. Architecture

Here's how etl leads use architecture:
  • Developed Functional requirement specification and data architecture document and held meetings with the concerned stakeholders.
  • Proposed a simplified ETL architecture incorporating features identified by BI leadership as critical to quality.

3. Data Warehouse

Data warehouse, often abbreviated as either DW or DWH is a system used in computing for data analysis as well reporting. The DW is also considered to be an integral component of business intelligence as they also provide storage facilities for both real-time and historical data. ETL and ELT are the two driving forces behind a data warehouse system.

Here's how etl leads use data warehouse:
  • Developed and maintained stored procedures to allow for business rule transformations and manipulations of data into the Data Warehouse.
  • Collaborate with data warehouse personnel, business intelligence developers, and data custodians to develop ETL requirements.

4. Unix

UNIX is a computer operating system that was first created in the 1960s and has been constantly updated since then. The operating system refers to the set of programs that enable a machine to function. It is a multi-user, multi-tasking device that works on computers, laptops, and servers. UNIX systems also have a graphical user interface (GUI), similar to Microsoft Windows, that makes it simple to use.

Here's how etl leads use unix:
  • Coordinated the data loads automation project and did significant development for migration of the batch jobs from UNIX to ESP scheduler.
  • Automated the entire Data Mart process using UNIX Shell scripts and scheduled the process using TWS, JobTrack after dependency analysis.

5. Data Quality

Here's how etl leads use data quality:
  • Involved in building the ETL architecture/framework for efficient processing of Source data into Data Quality Repository database.
  • Integrated the Data Quality with Power center to deliver enterprise-strength data quality capability.

6. Informatica Powercenter

Here's how etl leads use informatica powercenter:
  • Developed new ETL mappings according to the requirements using Informatica PowerCenter9.1.
  • Design and develop ETL mappings using Informatica PowerCenter.

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7. Data Analysis

Here's how etl leads use data analysis:
  • Involved in data analysis by creating column analysis and cross database analysis in Information Analyzer.
  • Debugged existing issues, involved in data analysis and provided prompt resolution.
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8. Extract Data

Here's how etl leads use extract data:
  • Used DataStage as an ETL tool to extract data from sources systems, loaded the data into the IBM DB2 database.
  • Used DataStage as an ETL tool to extract Data from sources like Flat Files and loaded to target SAP database.

9. Data Flow

Here's how etl leads use data flow:
  • Conceptualized innovative Data Flow Diagram embedded with Source 2 Target Mapping Sheets in Excel which was highly appreciated by all stake holders
  • Design, develop and manage 10g Database to help team in creating High Speed Data flow through tracking process.

10. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how etl leads use java:
  • Developed mappings using Java Transformations.
  • Created Payroll Validate Utility Tool which will validate the Payroll dates, Line Splits in the 1122 file using Core Java.

11. Hadoop

Hadoop is an open-source software and procedures framework that is free for anyone to use on the internet. Hadoop aids in big data operations. It allows massive data storage, applications to be run on commodity hardware, and can easily manage to run various tasks occurring at the same time.

Here's how etl leads use hadoop:
  • Worked on Creating Hadoop HDFS files and populate that From ETL Cluster to Big data Cluster.
  • Used Big data file Component to process the HDFS files in the Hadoop Environment.

12. PL/SQL

Here's how etl leads use pl/sql:
  • Developed PL/SQL Cursor Optimization Techniques by identifying bottlenecks of performance.
  • Developed PL/SQL packages to expose requests from SFDC front end as generic stored procedure calls with response time of < 10s.

13. BI

Here's how etl leads use bi:
  • Used Agile methodology Scrum for BI development, with 2 week sprints cycles for the new ETL development projects.
  • Worked closely with PM, data modeler, business analysts, BI tester to design the best ETL approach.

14. Source Systems

Here's how etl leads use source systems:
  • Mapped data from various source system and defined SourceCode and SourceCodeset for Data Standardization.
  • Source system analysis and Logical data mapping activity and supporting data modeling activity.

15. Profiling

Here's how etl leads use profiling:
  • Performed Data profiling and Data Cleansing activities.
  • Followed by data profiling, data mapping activity is done to map the policy information from source to target system.
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List of etl lead skills to add to your resume

ETL Lead Skills

The most important skills for an etl lead resume and required skills for an etl lead to have include:

  • SQL Server
  • Architecture
  • Data Warehouse
  • Unix
  • Data Quality
  • Informatica Powercenter
  • Data Analysis
  • Extract Data
  • Data Flow
  • Java
  • Hadoop
  • PL/SQL
  • BI
  • Source Systems
  • Profiling
  • Onsite
  • Teradata
  • Test Cases
  • Data Models
  • Repository
  • Ssis
  • DB2
  • Extraction
  • DataStage
  • QA
  • Business Analysts
  • Linux
  • XML
  • EDW
  • UAT
  • Code Reviews
  • SDLC
  • Data Warehousing
  • Toad
  • Technical Specifications
  • Oracle Sql
  • Source Data
  • Debugging
  • Windows XP
  • Oracle 11G
  • Business Rules
  • DB
  • ODS
  • Error Handling
  • Oracle 10G
  • Data Marts
  • Informatica Mappings
  • Autosys
  • Aggregator
  • Netezza

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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