Quality Engineer – Data (Azure / Databricks) Ref No: 26-37173

• 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