QA Lead - AI & ETL
PhaxisNew York, NY
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Job Description
- 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.
- 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
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
FAQs About QA Lead - AI & ETL Jobs at Phaxis
What is the work location for this position at Phaxis?
This job at Phaxis is located in New York, NY, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Phaxis?
Candidates can expect a pay range of $130,000.
What employment applies to this position at Phaxis?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at Phaxis?
You can apply for this role at Phaxis either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.