Automation Test Lead – Data & Platform Engineering
Summary
Lead automated testing for data pipelines and platform engineering, designing test frameworks in Python and validating ETL/ELT workflows with tools like DBT, Airflow, and Snowflake.
- Strong Python (test frameworks, libraries, CLI tools); advanced SQL
- Hands-on DBT, Airflow, Snowflake or similar; ETL/ELT and data modeling
- Great Expectations/Soda; lineage and catalog systems
- Kafka/Kinesis testing; delivery semantics
- Git workflows; CI/CD (Jenkins, GitHub Actions)
- AWS; IaC (Terraform/CloudFormation)
Desired Skills:
- API contract testing (PACT);
- basic UI automation; data mesh/data product exposure;
- Prometheus/Grafana; regulated domain experience (healthcare, life sciences, finance