Padmi

Hiring For ETL Testers with 4-9 Yrs For BLR, HYD, CBE (Coimbatore)

IndiaPosted 1 month ago
Software QualitySeniorFull Time; Regular
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Primary Skill: ETL Functional Testing Engineer / Senior ETL Functional Testing Engineer Experience: 4-9 Years Locations: Pune | Bangalore | Hyderabad | Coimbatore Job Summary: We are seeking experienced ETL Testing Professionals with strong expertise in ETL Testing, Data Warehouse Testing, SQL, and Data Validation. The ideal candidate will be responsible for validating data transformations, ensuring data quality, and testing end-to-end data integration processes across enterprise data platforms. Key Responsibilities: - Perform Functional Testing of ETL applications and data pipelines. - Validate source-to-target data mappings and transformation rules. - Develop and execute test cases, test scenarios, and test scripts. - Perform Data Warehouse and Data Migration testing. - Write and execute complex SQL queries for data validation. - Verify data completeness, accuracy, and consistency across systems. - Analyze business requirements and create comprehensive test plans. - Identify, document, and track defects through closure using defect management tools. - Collaborate with Business Analysts, Developers, and Data Engineers to resolve issues. - Participate in Agile ceremonies including Sprint Planning, Reviews, and Retrospectives. - Ensure adherence to quality standards and testing best practices. Required Skills: - Strong experience in ETL Testing and Data Warehouse Testing. - Hands-on expertise in SQL and Database Testing. - Experience in Source-to-Target Validation. - Solid understanding of ETL workflows and data transformation concepts. - Experience in Test Case Design and Execution. - Knowledge of Data Quality and Data Reconciliation testing. - Familiarity with defect tracking tools such as JIRA, ALM, or similar. - Experience working in Agile/Scrum environments. Preferred Skills: - Experience with ETL tools such as Informatica, Talend, SSIS, DataStage, or similar. - Exposure to cloud data platforms such as Snowflake, Azure Data Factory (ADF), Databricks, or .

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