Quality Engineer – Data (Azure / Databricks)
Ref No: 26-37173
Location: Onsite (Day 1 reporting)
Openings: 1
Key Skills
- Azure Data Testing / ETL Testing
- Databricks (Strong Hands-on)
- SQL (Complex Queries), SQL Server / PostgreSQL
- Spark SQL
- Python or Scala (Basic–Intermediate)
- Azure Data Platform (ADF, Data Lake, Databricks)
- JIRA / VSTS (ALM Tools)
- Data Validation & Quality Assurance
Job Description
- Perform ETL testing for Azure Data platforms and Databricks pipelines.
- Validate complex SQL and Spark SQL transformations.
- Test data workflows across Azure Data Factory and Databricks environments.
- Identify and resolve data quality issues ensuring accuracy and consistency.
- Use ALM tools like JIRA/VSTS for defect tracking and reporting.
- Collaborate with data engineers and QA teams for test planning and execution.
- Support end-to-end validation of cloud-based data pipelines.
Preferred
- Cloud data engineering exposure (Azure or AWS).
- Strong analytical and debugging skills.
- Experience in large-scale data pipelines and analytics environments.
Pay: ₹1,000,000.00 - ₹1,500,000.00 per year
Work Location: In person
