ETL QA Lead

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

ETL
Extract
Transform
Load
Data Quality
Quality Assurance
ETL QA

Job Details

Job Title: ETL QA Lead

 Location: Princeton, NJ (Onsite Only — Local or Nearby Candidates)
 Job Type: Contract

Job Description:

We are seeking an experienced ETL QA Lead to oversee ETL testing, data validation, and quality assurance efforts across complex data integration environments. The ideal candidate will have strong technical, analytical, and leadership skills to ensure data accuracy, completeness, and high-quality ETL processes.

Key Responsibilities:

  • Lead and execute ETL testing across multiple data sources and target systems

  • Perform data validation, data quality checks, and root-cause analysis

  • Develop test plans, test cases, test scripts, and documentation

  • Work closely with ETL developers, DBAs, and business stakeholders

  • Validate data transformations, mappings, and workflows

  • Ensure compliance with QA best practices and process standards

  • Support defect tracking, resolution, and reporting

Required Skills:

  • Strong hands-on ETL Testing experience

  • Experience testing data pipelines and transformation logic

  • Solid understanding of SQL, data models, and relational databases

  • Ability to identify ETL defects and validate data across systems

  • Strong communication and analytical skills

  • Experience in leading QA efforts or mentoring team members

Nice to Have:

  • Experience with any ETL tools (Informatica, Talend, DataStage, SSIS, etc.)

  • Experience in Agile environments

  • Experience working with large datasets

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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