Quality Engineer - Data Platforms (Snowflake/Databricks)

About the role

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.

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

Location: Remote C2C. Contact: 609-755-5388, anil.kumar@applabsystems.com, 4365 Route 1 South, Suite 105, Princeton, NJ 08540, www.applabsystems.com