Develop and execute data-driven QA strategies, leveraging SQL, Python, or other tools to test and monitor large datasets.
Integrate test case execution and reporting within the CI / CD pipeline to align with the DevOps strategy, criteria, requirements, and user stories
Work in the SDET capacity to automate early in conjunction with other engineer's efforts to build systems.
Requirements
8+ years of ETL / Data Warehouse / Big data / Data Platform experience.
6+ years of progressive experience in Data Quality Assurance, Data Governance, or Regulatory Projects
Strong hands-on experience in database technologies preferably Oracle and PostgreSQL. Experience in writing complex SQL and PL / SQL scripts for querying data.
Experience with ETL Processes (Data Warehouse) and BI tools (QlikSaas, Tableau etc.,).
Experience creating reusable code / scripts for Automated Framework using Python (Pandas, Numpy, Requests, Boto3)
Strong hands-on experience with Kafka Data streams, APIs, webservices and Microservices.
Experience with processes and deliverables in an Agile / SCRUM environment
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