Senior QA Engineer – Data Test Engineer Lead (Salesforce FSC)

This job has been expired
Remote
Full-time

🔍 Senior QA Engineer – Data Test Engineer Lead (Salesforce FSC)

📍 Location: Remote (USA)
Duration: 12+ Months
💼 Employment: W2
💰 Rate: $55/hr
🎥 Interview: Video

Key Responsibilities:-

  • Design data testing strategies, test plans, and test cases using data models, design documents, and acceptance criteria
  • Execute testing for data migration and data integrations (legacy Salesforce → Salesforce FSC)
  • Validate Informatica (IICS/IDMC) ETL pipelines and data transformations
  • Perform data reconciliation, source-to-target validation, and defect analysis
  • Write complex SQL and PL/SQL scripts for repeatable data testing
  • Query Salesforce using SOQL to validate migrated and integrated data
  • Lead QA efforts, ensure process compliance, and maintain complete documentation
  • Coordinate end-to-end testing across multiple teams, including offshore QA
  • Drive test automation initiatives for data and integration testing
  • Partner with developers, architects, and business stakeholders to ensure quality delivery
  • Support CI/CD pipelines and QA tools (Git, Jenkins/Bamboo, test management tools)

Required Skills & Experience:-

  • 5–7+ years of Software Quality Assurance experience
  • 5+ years of hands-on Data & Data Integration Testing
  • Strong experience with Oracle SQL and writing PL/SQL procedures
  • Experience testing ETL tools such as Informatica (IICS/IDMC preferred), SSIS, Talend
  • Experience with Salesforce data models and SOQL querying
  • Strong understanding of data migration and integration testing
  • Proficiency in at least one OOP language: Java / Python / C#
  • Solid understanding of QA practices: system testing, regression, risk-based & exploratory testing
  • Experience working in Agile environments
  • Excellent communication and coordination skills, especially with distributed/offshore teams
  • Salesforce Financial Services Cloud (FSC) experience
  • Test automation for data validation
  • CI/CD tools: Jenkins, Bamboo, Git
  • DevOps exposure
  • Financial services domain experience
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