ETL QA with GoldenSource

Job Description

We are looking for a skilled ETL QA Engineer with hands-on experience in GoldenSource platform testing. The ideal candidate will have strong expertise in ETL testing, database validation, data migration, source-to-target mapping, and data quality assurance across financial or enterprise data platforms.

Key Responsibilities

• Perform ETL testing and validate data extraction, transformation, migration, and loading processes.
  

• Develop and execute SQL queries for data validation, reconciliation, and data integrity checks.
  

• Validate source-to-target mappings and business transformation rules.
  

• Perform end-to-end testing of data warehouses and reporting applications.
  

• Test GoldenSource data feeds, workflows, and data integration processes.
  

• Conduct data quality checks, regression testing, and defect tracking.
  

• Prepare test plans, test cases, test scenarios, and test execution reports.
  

• Collaborate with ETL developers, business analysts, and business stakeholders to understand requirements.
  

• Identify, document, and track defects using HP Quality Center, HP ALM, or JIRA.
  

• Support User Acceptance Testing (UAT) and production data validation activities.
  

Mandatory Skills

• Strong experience in ETL Testing and Data Migration Testing.
  

• Hands-on experience with the GoldenSource platform.
  

• Strong SQL skills, including complex queries and data validation.
  

• Experience in database testing and source-to-target data reconciliation.
  

• End-to-end testing experience.
  

• Hands-on experience with HP Quality Center / ALM.
  

• Good understanding of SDLC and STLC processes.
  

Preferred Skills

• Experience with ETL tools such as Informatica, Ab Initio, Talend, or SSIS.
  

• Knowledge of financial data domains and financial data management.
  

• Familiarity with Unix/Linux commands.
  

• Experience with JIRA and test management tools.
  

• Exposure to ETL test automation and Agile/Scrum methodologies.
  

• Knowledge of cloud-based data platforms.
  

Candidate Requirements

• Strong analytical and problem-solving skills.
  

• Excellent understanding of data quality, integrity, and reconciliation.
  

• Ability to work collaboratively with technical and business teams.
  

• Candidates must be comfortable working in a hybrid model from Pune.