- Act as a QA Lead in a AI environment
- Agentic and LLM or similar a huge plus
- 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
P
Phaxis
We stand for PERSEVERANCE, as we refuse to quit when the journey gets tough. Your gold is our mission, and we search day and night to find it.
50 to 99 employees
Staffing/Employment Agencies