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- Ensure data validation and integrity during migration and data pipeline workflows.
- ETL automation testing by validating end to end data pipelines.
- Automate workflows in AWS for scalability and performance optimization.
- Leverage CICD for continuous testing and deployment of data pipelines.
- Write complex SQL queries for debugging and data retrieval.
- Develop framework to support data testing for regression.
Qualification
-7+ years of experience in ETL/data testing, with hands-on exposure to
Databricks (Spark, Delta Lake, Notebooks).
- Strong SQL skills for writing validation queries, joins, aggregations, and data
comparisons.
- Experience testing pipelines on at least one cloud platform **AWS** (S3, Glue,
Redshift) or **Azure** (ADF, ADLS Gen2, Synapse).
- Understanding of **data warehousing concepts** (dimensional modeling, SCD types,
medallion/bronze-silver-gold architecture).
- Experience with test management tools (JIRA, TestRail, Azure DevOps, qTest, or
similar).
- Familiarity with **data quality/validation frameworks** and reconciliation techniques.
- Basic scripting skills in **Python or PySpark** for test automation.
- Understanding of **batch and streaming** data pipeline concepts.
- Strong analytical skills with high attention to detail.
- Good communication skills to document and articulate defects and testing outcomes
clearly.
Job ID: 151575699
Skills:
Etl Testing, automation testing, Sql, DevOps practices, Data Validation
Skills:
Jira, Sql, Etl Testing, Automation, Agile, Etl