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QA Automation Engineer with 6+ years in ETL & Data Warehouse testing
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Assessing your cultural and operational fit
Experienced Software Test Engineer with over 4+ years in ETL and Data Warehouse testing. Proficient in validating complex data pipelines using SQL (Oracle) and automating data validation tasks with Python (Pandas). Expertise in test case design, ETL workflow verification, and ensuring data quality with Informatica PowerCenter. Strong collaborator in Agile environments, with a proven track record of defect management and issue tracking using JIRA. Adept at delivering high-quality testing solutions that ensure reliable data flows and system performance.
Unknown
Bachelor of Computer science (BSC(CS)) · Computer Science
N/A – June 30, 2021
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Cultural Fit Analysis
The candidate's experience spans multiple industries (Retail, Healthcare, Government) and clients (Publix, Kroger, Centene), indicating adaptability to diverse project requirements and team cultures. Their consistent focus on ETL testing and data quality suggests a preference for roles requiring meticulous attention to detail and data integrity. The breadth of tools and technologies used (SQL, Python, Databricks, PySpark, Informatica, JIRA) indicates a willingness to learn and apply new skills, which is positive for cultural fit in dynamic environments. However, the experience is heavily specialized in ETL, and broader QA automation experience (e.g., UI, API automation) is less evident, which might require upskilling for a general 'QA Automation Engineer' role.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for data-intensive QA roles, with a clear focus on ETL testing and data quality. Their experience in Agile environments suggests adaptability and collaboration. The resume highlights a methodical approach to defect tracking and resolution. Communication skills appear adequate for technical documentation and collaboration, as evidenced by clear project descriptions.