Job Title: Senior Data Quality Engineer

Experience: 6–8 Years

- Own end-to-end data quality validation across ingestion, transformation, and consumption layers
- Design and maintain ETL automation frameworks using Python and Pytest
- Perform source-to-target validation, reconciliation, and anomaly detection
- Validate cloud-based data architectures (data lakes, warehouses, streaming platforms)
- Implement data quality rules such as null checks, schema validation, and integrity checks
- Use DataGaps (preferred) or similar tools for data quality monitoring
- Collaborate with data engineers, architects, and product teams to ensure quality
- Validate ETL workflows, scheduling, and failure handling mechanisms
- Execute SQL and Python-based validations for batch and real-time data
- Integrate automated data tests into CI/CD pipelines
- Track and report defects using Zephyr and Jira
- Ensure compliance with data governance and regulatory standards




- Mentor junior engineers and contribute to best practices and frameworks Required Skills:
- Robust experience in data pipeline validation, ETL testing, and data quality engineering
- Proficiency in Python, PySpark, SQL, and Pytest
- Experience with Selenium and DataGaps frameworks
- Knowledge of CI/CD tools (GitHub Actions) and version control (Git)
- Experience with AWS (Glue, Iceberg) and lakehouse architectures
- Familiarity with test data management techniques
- Experience with performance testing tools (JMeter)
- Experience with Zephyr test management tool
- Knowledge of Docker and Kubernetes Preferred:
- Experience with healthcare or regulated datasets
- Experience validating APIs, Tableau reports, and UI
- Familiarity with Agile methodologies Education:
- Bachelor’s degree in Computer Science, Engineering, or related field

📌 Senior Quality Engineer (Kerala)
🏢 Indium
📍 Kerala