Automation Test Engineer (Data & Platform Engineering)

Mandatory Skills

• Programming & Framework Development
• Strong Python with experience building test frameworks, libraries, and CLI tools
• Advanced SQL for validation and reconciliation
• Data Engineering Ecosystem
• Hands on with DBT, Airflow, and Snowflake or similar platforms
• Strong understanding of ETL or ELT and data modeling concepts
• Data Quality & Observability
• Experience with Great Expectations, Soda, or similar tools
• Understanding of lineage and catalog systems
• Streaming Systems
• Experience testing Kafka, Kinesis, or similar systems
• Understanding of delivery semantics and event processing challenges
• CI/CD & DevOps
• Strong Git workflows
• CI/CD pipelines using Jenkins, GitHub Actions, or equivalent
• Cloud & Infrastructure
• AWS experience across data and compute services
• Familiarity with IaC tools like Terraform or Cloud Formation

Desired Skills

• Experience with API contract testing and tools like PACT
• Basic UI automation for end to end validation
• Exposure to data mesh or data product architectures
• Observability stacks such as Prometheus or Grafana
• Experience in regulated domains (healthcare, life sciences, finance)

Experience

• 9+ years in automation or quality engineering
• 5+ years building frameworks for data platforms at scale
• Proven track record of improving system reliability and reducing production incidents

What Success Looks Like (First 6-12 Months)

• A widely adopted, low friction test automation framework across teams
• Significant reduction in production data incidents and schema related failures
• Strong enforcement of quality gates in CI/CD pipelines
• Measurable improvement in data SLAs and observability
• Reduced test execution time with higher coverage and lower flakiness