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ETL Tester

Job in Washington, District of Columbia, 20022, USA
Listing for: Neural Strategic Solutions, Inc.
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Engineering, IT QA Tester / Automation, Data Warehousing, Database Administrator
Job Description & How to Apply Below

About The Role

We are looking for Entry/Junior/Mid level ETL Testers. An ideal candidate should have prior experience working with Unix, ALM, Quality Center, SQL, BI Tools (Informatica/SSIS), Reporting Tools (SSRS/Microstrategy).

Requirements
  • A bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field is typically required. Relevant certifications in ETL testing or data warehousing (e.g., ISTQB) may be beneficial.
  • Proven experience as an ETL Tester or in a similar role, typically 2-5+ years.
  • Hands‑on experience with ETL tools and technologies (e.g., Informatica, Talend, SSIS).
  • Experience in testing data integration, data migration, and ETL processes in a data warehouse environment.
  • Familiarity with relational databases (e.g., Oracle, SQL Server, MySQL) and SQL querying.
  • Proficiency in writing and executing SQL queries to validate data transformations and integration.
  • Knowledge of data quality concepts, data profiling, and data validation techniques.
  • Experience with test automation tools and frameworks used in ETL testing.
  • Familiarity with scripting languages (e.g., Python, Shell scripting) for automation and validation tasks.
  • Understanding of the ETL lifecycle, including extraction of data from various sources, transformation according to business rules, and loading into data warehouses or data marts.
  • Knowledge of data modeling and schema design principles.
  • Experience in test planning, test case design, test execution, defect tracking, and reporting.
  • Ability to perform end‑to‑end data validation and reconciliation across different systems.
  • Strong analytical skills to troubleshoot issues, identify root causes, and propose solutions.
  • Attention to detail and ability to ensure data integrity and accuracy through rigorous testing.
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