Posted on: 15/09/2025
Key Responsibilities :
- Perform end-to-end testing of data pipelines, ETL jobs, and data migration activities across legacy and modern data platforms.
- Validate data ingestion, data transformation, and data integrity across Data Warehouse (DWH) and Data Lake environments.
- Develop and execute both manual and automated test cases to ensure functional and non-functional requirements are met.
- Collaborate with data engineers, developers, and business stakeholders to understand data flow, mappings, and transformation logic.
- Write complex SQL queries to validate large datasets across multiple sources and targets.
- Use tools and frameworks for automation testing of ETL and data-related workflows.
- Ensure high-quality test coverage and documentation for all assigned projects.
- Participate in Agile/Scrum ceremonies, sprint planning, and defect triaging.
- Provide regular reports on test execution, defect status, and QA metrics.
Required Skills & Qualifications :
- Proven experience in Data Migration projects and Data Lake validation.
- Solid hands-on experience in ETL/DWH testing including data reconciliation, validation, and lineage tracking.
- Strong understanding of AWS services (e.g., S3, Redshift, Glue) and/or Snowflake.
- Proficient in SQL for data validation and test automation scripting.
- Experience in both Manual Testing and Automation Testing in data environments.
- Knowledge of automation frameworks and scripting languages used for ETL validation is a plus.
- Excellent communication skills, both verbal and written.
- Strong analytical and problem-solving skills, with the ability to work independently in a fast-paced environment.
Nice to Have :
- Familiarity with data governance, data profiling, and data quality tools.
- ISTQB or similar QA certifications.
Did you find something suspicious?
Posted By
Posted in
Quality Assurance
Functional Area
QA & Testing
Job Code
1546606
Interview Questions for you
View All