Phaxis
QA Lead
Act as a QA Lead 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
Act as a QA Lead 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