QA Analyst – Data & ML Focus
We are seeking a QA Analyst to support an ML platform, focusing on full-stack and data-centric applications. This role bridges automation, data engineering, and machine learning (ML) operations, ensuring robust testing of production-grade applications and data pipelines. The ideal candidate will be technically proficient, business-savvy, and capable of working across teams to validate data integrity and application functionality.
Key Responsibilities
- Lead and execute QA testing across full-stack and data/ML applications.
- Translate business and functional requirements into test cases and validation strategies.
- Perform manual and automated testing, including ETL and source-to-target data validation.
- Collaborate with data engineers, data scientists, and QA teams to ensure quality across the SDLC.
- Validate SQL queries and Python scripts to ensure data accuracy and business logic alignment.
- Support QA efforts for applications transitioning from development to production.
- Recommend and implement appropriate testing tools and frameworks.
Required Skills & Tools
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SQL (Advanced) – Strong ability to write and validate complex queries.
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Python (Intermediate) – Comfortable reading, understanding, and modifying scripts.
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PostgreSQL – Experience with stored procedures, triggers, and data validation.
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Snowflake – Familiarity with querying and validating data in Snowflake.
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Testing Tools (Preferred Experience)
- QTest
- NeoLoad
- Tosca
- Katalon
- Selenium
- HP UFT (Unified Functional Testing)
Preferred Qualifications
- 2–3 years of QA experience in a production environment.
- Experience in data-centric QA roles (not just front-end testing).
- Familiarity with ML workflows and data pipelines.
- Ability to work independently and communicate effectively with technical and business stakeholders.
- Quick learner with a proactive mindset.
Required Skills : ***Ranked In Order*** Azure / CICD automation - YAML / Selenium / Qtest / Databricks / Complex SQL Queries / Python / SonarQube / CodeQL / integration with AI - ML applications
Basic Qualification :
Additional Skills :
100% remote AI/ML applications exposure Long-term
Background Check : Yes
Drug Screen : Yes