Hadoop QA

Experience Required: 6+ Years

Location: Hyderabad, India

Job Type: Full-time / Permanent

Work Mode: [Onsite / Hybrid / Remote – specify as needed]

We are seeking a highly skilled ETL Test Engineer with a strong background in ETL testing, SQL, Python scripting, and test automation. The ideal candidate will be responsible for validating data pipelines, ensuring data quality, and automating test processes for large-scale data environments.

• Design and execute comprehensive ETL test cases, test scenarios, and test plans.
• Perform data validation, data integrity, and data quality testing across source and target systems.
• Write complex SQL queries to verify data accuracy and transformations.
• Develop and maintain Python scripts to automate data validation and regression tests.
• Work closely with data engineers and analysts to understand ETL workflows and business logic.
• Automate repetitive test cases and integrate them into CI/CD pipelines.
• Conduct root cause analysis of defects and ensure timely resolution.
• Document test results, defects, and provide detailed reports to stakeholders.

• ETL Testing – experience validating data flows, transformations, and load processes
• SQL – strong hands-on experience writing and optimizing complex queries (Oracle, Teradata, or similar)
• Python – experience with scripting for automation, data parsing, and validation
• Automation Tools – experience with test automation frameworks (e.g., PyTest, Selenium, or custom frameworks)
• Data Warehousing Concepts – understanding of star/snowflake schema, fact/dimension tables
• Version Control – Git, Bitbucket

• Bachelor’s degree in Computer Science, Engineering, or related field
• 6+ years of experience in ETL/data warehouse testing
• Excellent understanding of QA methodologies, test planning, and defect management
• Strong problem-solving, analytical, and communication skills

• Experience with Big Data tools (Hadoop, Spark, Hive)
• Knowledge of CI/CD pipelines (Jenkins, Azure DevOps)
• Exposure to cloud data platforms (AWS, GCP, or Azure)
• Experience with BI report validation (Tableau, Power BI)