Skill: Databricks QA Engineer / Senior Databricks QA Engineer

Experience: 4-9 Years

Locations: Pune | Bangalore | Hyderabad | Coimbatore

Job Summary:

We are looking for skilled Databricks QA Professionals with strong expertise in Data Testing, Databricks, SQL, PySpark, and Data Validation. The ideal candidate will be responsible for validating large-scale data processing pipelines, ensuring data quality across cloud-based data platforms, and testing end-to-end data engineering solutions built on Databricks.

Key Responsibilities:

- Perform testing of Databricks-based data pipelines and data transformation processes.
- Validate data ingestion, transformation, aggregation, and loading workflows.
- Develop and execute test plans, test cases, and test scenarios for data applications.
- Perform source-to-target data validation and reconciliation.
- Write and execute complex SQL queries for backend data validation.
- Validate PySpark transformations and business rules.
- Ensure data quality, completeness, consistency, and accuracy across multiple systems.
- Perform functional, integration, regression, and data quality testing.
- Analyze requirements, data models, and ETL/ELT workflows.
- Identify, report, and track defects through closure.
- Collaborate closely with Data Engineers, Architects, Product Owners, and Business Teams.
- Participate in Agile ceremonies and quality assurance activities.

Required Skills:

- 4-9 years of experience in Data Testing / ETL Testing / QA.




- Hands-on experience testing Databricks-based applications.
- Strong expertise in SQL and database testing.
- Experience with Data Warehouse and Data Lake concepts.
- Good understanding of PySpark and Spark transformations.
- Strong knowledge of data validation and reconciliation techniques.
- Experience in source-to-target testing.
- Familiarity with Agile/Scrum methodologies.
- Experience with defect management tools such as Jira or Azure DevOps.

Preferred Skills:

- Experience with Azure Databricks.
- Exposure to Delta Lake, Unity Catalog, and Lakehouse Architecture.
- Experience with Azure Data Factory (ADF), Snowflake, Synapse, or AWS data services.
- Knowledge of ETL/ELT testing methodologies.
- Experience in test automation using Python or PySpark.
- Insurance domain experience is an added advantage.

Why Join ValueMomentum?

- Opportunity to work on cutting-edge cloud and data transformation programs.
- Exposure to Databricks Lakehouse and modern data engineering technologies.
- Continuous learning and certification opportunities.
- Team-oriented, inclusive, and innovation-driven culture.
- Work with leading global insurance customers.

Interested candidates can share their updated resume with the following details for [email protected]

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📌 Hiring For Databricks Testers with 4-9 Yrs For BLR, HYD, CBE & Pune (Hyderabad)
🏢 ValueMomentum
📍 Hyderabad