Data QA Engineer

Job Description: Data QA Engineer Manual Testing

Job Title: Data QA Engineer

Job Type: Full-Time

Experience: 5+ Years

Location: Pan India

Education: BE / B.Tech / ME / M.Tech / MCA / M.Sc graduates only

Job Summary We are looking for a skilled Data QA Engineer with hands-on experience in manual testing, PySpark, SQL, and Azure Databricks. The ideal candidate should have strong data validation skills and experience testing data pipelines, transformations, and data quality across large datasets.

Key Responsibilities

• Perform manual testing of data pipelines, data processing workflows, and data transformation logic.
• Validate data accuracy, completeness, consistency, and integrity using SQL queries.
• Use PySpark to validate large datasets and verify data transformation results.
• Perform data testing and validation in Azure Databricks environments.
• Execute test cases for ETL/ELT processes and identify data discrepancies.
• Validate source-to-target mappings and reconcile data between source and target systems.
• Identify, document, track, and report defects with supporting evidence.
• Collaborate with data engineers, developers, and business teams to resolve data quality issues.
• Prepare test scenarios, test cases, test data, and test execution reports.
• Perform regression testing to ensure data pipeline changes do not affect existing functionality.

Mandatory Skills

• Manual Testing Data / ETL Testing
• PySpark
• SQL
• Azure Databricks
• Data Validation and Data Reconciliation
• ETL/ELT Testing and Source-to-Target Validation
• Defect Reporting and Test Case Documentation

Preferred Candidate Profile

• Strong analytical and problem-solving skills.
• Experience in data-centric testing projects.
• Ability to write SQL queries for complex data validation.
• Practical understanding of PySpark-based data processing.
• Hands-on exposure to Azure Databricks notebooks and datasets.
• Good communication and collaboration skills.