Quality Engineer - Data Platforms

Title: Quality Engineer - Data Platforms (Snowflake/Databricks)  Location: Remote  Employment type: C2C  Need 8+ years of experience with LinkedIn Job description:  We are looking for a QA Engineer with strong expertise in manual and automation testing, hands-on coding experience, and deep knowledge of data validation and ETL processes. The ideal candidate will have experience testing data pipelines, data warehouses, and healthcare systems in a cloud-based environment. Key Responsibilities: Perform manual and automation testing for data-driven applications Validate ETL pipelines and backend data using SQL and Python Develop automated database validation and test scripts Test data warehousing solutions and ensure data accuracy across sources Work in Agile/Scrum teams and integrate testing into CI/CD pipelines Required Skills: Strong SQL (complex queries, joins, aggregations) Python for test automation (SQLAlchemy, Pandas) Automation tools: Selenium, Airflow ETL & Data Platforms: Databricks, Snowflake, Informatica, Talend Data Warehousing concepts (Star/Snowflake schema, SCD) Healthcare domain experience (Medicaid, HIPAA, claims, ICD/CPT/HL7) Tools: Azure DevOps, JIRA, GitHub, Tableau/Power BI Nice to Have: Experience with AI tools (GitHub Copilot, M365 Copilot, Snowflake Cortex) Exposure to AI/ML model and data pipeline testing Apply Here: [Upgrade to PRO to see link]