Senior QA Engineer (ETL/Data)

10 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Role Overview:

We are seeking a highly skilled and motivated Senior QA Engineer (ETL/Data) with strong expertise in ETL Testing, data governance, and cloud data platforms to drive QA delivery for large scale data initiatives. The ideal candidate will combine hands-on ETL/data testing with leadership, stakeholder management, and delivery oversight, ensuring compliance with governance standards while validating data accuracy across AWS and Snowflake platforms.

Key Responsibilities:

  • Work across ETL, data warehouse, Snowflake, and AWS-based data projects ensuring high data accuracy and reliability.
  • Define and implement test strategies, governance frameworks, and AQ best practices for ETL and Data Testing
  • Conduct data profiling, validation, reconciliation, and transformation testing using SQL and automation where applicable.
  • Collaborate with business stakeholder’s product owners via (RALLY) and data governance teams to ensure requirements and acceptance criteria are fully met.
  • Drive compliance with data governance, data quality, and regulatory standards
  • Manage stakeholder expectations by providing test plans, dashboards, and progress updates.
  • Partner with DevOps and Automation teams to enhance ETL and data testing automation in AWS/Snowflake environments.


Required Skills & Experience

  • 10+ years of QA experience, with at least 5+ years in delivery role.
  • Strong expertise in ETL testing, data profiling, and data warehouse/migration testing.
  • Proficiency in SQL with ability to write advanced queries for large-scale data validation.
  • Hands-on experience with Snowflake and AWS cloud data services (S3, Redshift, Glue, Lambda, etc.).
  • Working knowledge of ETL tools (Informatica, Talend, DataStage, SSIS, or similar).
  • Experience with Rally/Agile Central for Agile project management and QA delivery tracking.
  • Solid understanding of data governance, metadata management, and data quality frameworks.
  • Proven expertise in stakeholder management and delivery leadership.
  • Familiarity with test management tools (JIRA, HP ALM, TestRail).


Good to Have: -

  • Exposure to automation frameworks for ETL testing (Python-based or custom DB validation frameworks).
  • Knowledge of BI and reporting tools (Tableau, Power BI, Qlik).
  • Experience with data lineage, data cataloging tools, and master data management (MDM).
  • . Certifications in AWS, Snowflake, or ISTQB/Data Testing are a plus.
  • Insurance experience is a plus

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