| QA Lead (with GCP, ETL and Healthcare Domain) 100% Remote at Remote, Remote, USA |
| Email: [email protected] |
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Healthcare domain is mandatory. Hi, Trust you are doing well. I came across your info, and I wanted to see if you are interested in exploring opportunities. This is a long-term contract opportunity for 100% Remote . Please review the below job description and contact me ASAP. ***Please disregard this email if you feel you received it in error or are not looking for a new opportunity. Your resume has been identified in our database as a potential fit for an opening with one of our clients*** QA Lead (with GCP, ETL and Healthcare Domain) Location 100% Remote Contract (12+ Months) Start - ASAP 11+ Years of experience required. We need candidates who have substantial experience in GCP, ETL Testing and Must have worked with Healthcare domain Job Description: Required Details: 10+ years of experience in data quality testing, with at least 5+ years in a lead role. Hands-on experience with BigQuery, SQL, and Python for data validation and test automation. Strong understanding of ETL testing, data warehouse testing, and data lake validation. Experience with data testing frameworks Familiarity with cloud-based CI/CD tools and integrating test automation. Strong analytical and problem-solving skills for debugging data issues. Test Strategy & Planning: Develop and implement a data quality testing strategy covering data lake, data warehouse, and data pipelines. Define test plans, test cases, and automation frameworks for data validation, transformation logic, and system integration. Establish best practices for data quality testing, anomaly detection, and root cause analysis. Establish Entry & exit criteria and acceptance criteria for Functional testing. Establish plan & strategy for Performance testing. Test Execution & Automation: Perform functional, regression, and performance testing of data pipelines and transformations. Coordinate with & mentor Test Engineers / Data Quality Testers, Data Quality Analysts for successful Test execution. Coordinate with offshore members (if any) for completion of Testing Life Cycle and adherence to Testing standards. Automate data validation and reconciliation using Python, SQL, and testing frameworks. Work with engineering teams to integrate automated tests into CI/CD pipelines for continuous testing. Develop data comparison and anomaly detection scripts for large datasets in BigQuery. Collaboration & Stakeholder Management: Partner with data engineers, analysts, and business teams to define data quality requirements. Work closely with DevOps to integrate data testing automation into deployment pipelines. Lead data quality issue triaging, debugging, and resolution efforts. Communicate data quality KPIs and test results to stakeholders. Collaborate with UAT Testers as early in the life cycle. Thank you very much for your time and if youre interested, please shoot over a quick response with your most updated resume. Hoping to help you with your next great role! Warm Regards Soubhagya Ranjan Executive Talent Acquisition -- Keywords: continuous integration continuous deployment quality analyst information technology QA Lead (with GCP, ETL and Healthcare Domain) 100% Remote [email protected] |
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| 07:59 PM 21-Feb-25 |