Role: ETL / Data QA Engineer
Location: Bangalore | Noida | Gurgaon | Hyderabad
Experience: 3-5 Years
Immediate Joiners Only
Key Responsibilities
- Perform data validation and ETL testing across multiple data sources, ensuring consistency, accuracy, and completeness.
- Use SQL for deep data verification, transformation validation, and data reconciliation.
- Conduct backend debugging and analyze logs via Linux/Unix console commands.
- Validate data ingestion and transformation logic in tools such as BigQuery, Databricks, or other ETL platforms.
- Identify and resolve data quality issues (nulls, duplicates, mismatches) and maintain quality metrics.
- Design, plan, and execute test strategies, test plans, and data QA processes from scratch.
- Collaborate closely with data engineers and analysts to ensure testing alignment with business requirements.
- Use AI tools or assistants effectively for testing automation, data verification, and process optimization.
- Participate actively in Agile ceremonies and take ownership of QA deliverables in cross-functional teams.
- Track QA efficiency metrics and contribute to process improvements and automation opportunities.
Required Skills & Experience
- 5-7 years of experience in ETL / Data QA / Data Validation roles.
- Proficiency in SQL (joins, aggregations, data reconciliation queries).
- Hands-on experience with Linux/Unix systems and console commands for log analysis and debugging.
- Good understanding of data quality frameworks, handling nulls, duplicates, and data transformation logic.
- Familiarity with ETL tools (e.g., Informatica, Talend, Databricks, BigQuery, or Airflow).
- Working knowledge of Agile / Scrum methodology.
- Strong analytical thinking and problem-solving skills.
- Excellent communication proactive in raising questions, clarifications, and improvement ideas.
