> Markdown version of [/jobs/ext/4692351-etl-tester-bangalore-india-jpmc](https://www.wearedevelopers.com/jobs/ext/4692351-etl-tester-bangalore-india-jpmc). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ETL Tester | Bangalore, India | Jpmc - **Company:** RAYTHEON COMPANY - **Location:** Morrison, TN, United States - **Contract:** Permanent contract - **Skills:** JIRA, Automation of Tests, Microsoft Azure, Batch Processing, Bug Tracking Systems, Databases, Data Validation, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Mining, Data Warehousing, Relational Databases, Database Queries, IBM InfoSphere DataStage, Software Debugging, Information Lifecycle Management, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, Oracle (Applications), Pentaho Data Integration, Power BI, Cloud Services, Shell Script, SQL Databases, SQL Server Integration Services, Tableau (Software), Talend, Test Execution Engine, Enterprise Data Management, Data Processing, Informatica Powercenter, Snowflake, Test Scripts, Ab Initio, Star Schema, Azure Synapse Analytics, Amazon Redshift, Databricks - **Published:** November 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/etl-tester-bangalore-india-jpmc-morrison-tn--e79f885f-caa9-4175-94f2-a399ddddb9f1 ## About the Role Database Extract Transform and Load (ETL), Testing, Data Warehousing, Business Analysis, SQL (Structured Query Language), Quality Assurance, Database Extract Transform and Load (ETL), Detail Oriented, Data Quality, Data Processing, * Strong proficiency in SQL for data validation and analysis. * Hands-on experience in ETL Testing and data validation. * Good understanding of ETL/ELT processes and data warehousing concepts. * Experience with relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL. * Knowledge of data modeling concepts including Star Schema and Snowflake Schema. * Experience with defect tracking tools such as Jira or Azure DevOps. * Strong analytical, problem-solving, and debugging skills. * Excellent communication and documentation skills. Preferred Skills * Experience with ETL tools such as: * Informatica PowerCenter * Talend * Microsoft SSIS * IBM DataStage * Pentaho * Ab Initio * Experience with cloud data platforms such as Databricks, Snowflake, Azure Synapse, or AWS Redshift. * Basic knowledge of Python or Shell scripting for test automation. * Familiarity with BI tools such as Power BI or Tableau. * Experience working in Agile/Scrum environments. ## Description We are looking for a detail-oriented ETL Tester to validate data extraction, transformation, and loading (ETL) processes across enterprise data platforms. The ideal candidate will have strong SQL skills, hands-on experience with ETL testing, and a solid understanding of data warehousing concepts. You will work closely with Data Engineers, ETL Developers, Business Analysts, and QA teams to ensure data quality, integrity, and accuracy throughout the data lifecycle., * Develop and execute ETL test plans, test cases, and test scripts based on business and technical requirements. * Validate data extraction, transformation, and loading processes from source systems to target data warehouses. * Perform source-to-target data validation using SQL queries. * Verify business transformation rules and ensure data accuracy and consistency. * Conduct data completeness, data integrity, and reconciliation testing. * Identify, analyze, and report data discrepancies, defects, and inconsistencies. * Perform regression, integration, system, and end-to-end testing for ETL processes. * Validate scheduled ETL jobs and monitor batch processing results. * Collaborate with Data Engineers and ETL Developers to resolve data quality issues. * Ensure compliance with data governance, security, and quality standards. * Prepare test documentation, defect reports, and test execution summaries. * Participate in requirement analysis and provide feedback on testability and data quality.