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ETL Tester

Job in Houston, Harris County, Texas, 77246, USA
Listing for: TechDigital Group
Full Time position
Listed on 2026-07-04
Job specializations:
  • IT/Tech
    IT QA Tester / Automation, Data Analyst
  • Quality Assurance - QA/QC
    IT QA Tester / Automation, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below

Mandatory Skills & Experience

  • Lead and manage teams in an Onsite–Offshore model.
  • Ensure adherence to QA processes and best practices.
  • Leverage AI for automation in testing workflows is Must
  • Perform database testing with strong expertise in ETL concepts and ETL testing.
  • Work extensively on end-to-end flows within retail domain marketing systems.
  • Strong QA process knowledge.
  • Hands-on experience with database testing and ETL testing.
  • Recent project experience with retail clients (back-end systems).
  • Deep understanding of retail domain marketing systems and end-to-end flows.
Responsibilities
  • Review requirements and prepare the Test Plan.
  • Develop and execute ETL test plans, test cases, and test scripts to validate the accuracy and integrity of data throughout the ETL process.
  • Verify data mappings, transformations, and data loading processes to ensure they meet business requirements.
  • Should have various types of ETL testing experiences include Metadata Testing, Data Completeness Testing, Data Accuracy Testing, Data Transformation Testing, Data Quality Testing, Initial/Incremental load testing.
  • Validates data by running queries in the database and verifying that the results match the expectations.
  • Perform data reconciliations between source and target systems.
  • Demonstrate strong knowledge of dimensional modelling and data warehouse concepts, including star schemas, snowflakes, dimensions, and facts.
  • Collaborate with data architects and development team/engineers to design and implement efficient data structures to ensure the quality of testing by providing data validation expertise.
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