Amgen is seeking a skilled Data Engineering Test Automation Engineer to ensure the quality and reliability of data pipelines across AWS and Databricks platforms
Job Summary
Amgen is seeking a skilled Data Engineering Test Automation Engineer to ensure the quality and reliability of data pipelines across AWS and Databricks platforms.
The role involves designing automated test scripts for ETL jobs, validating data accuracy, and performing performance testing on large-scale complex data engineering pipelines.
Candidates will collaborate with data engineers and DevOps teams to build robust test suites and integrate automated tests into CI/CD pipelines.
Matching Summary
Amgen is seeking a skilled Data Engineering Test Automation Engineer to ensure the quality and reliability of data pipelines across AWS and Databricks platforms.
Skills & Requirements
Must-have
Data pipeline validation and ETL testing
Front-end Node.js testing expertise
Python and PySpark for data validation
AWS and Databricks platform experience
CI/CD integration with Jenkins or GitHub Actions
Performance and load testing of data systems
API testing using Postman or pytest
Nice-to-have
Databricks or AWS certification preferred
Knowledge of data privacy and governance
Familiarity with Datadog or Cloud Watch monitoring
Experience with Mocha/Jest frameworks
Understanding of real-time data pipelines
UI automated testing framework knowledge
Strong root cause analysis skills
Key Requirements
Master's degree with 4-6 years experience OR Bachelor's with 6-8 years
Strong exposure to data pipeline validation and ETL testing
Hands-on expertise in front-end Node.js testing
Proficiency in Python and PySpark for automation scripts
Experience with AWS services like S3, Glue, Athena
Proven track record in API and performance testing
Solid understanding of QA methodologies and defect lifecycle