Sr Associate Test Automation Engineer role at Amgen involves designing and executing test strategies for complex data pipelines, developing automated validation scripts using Python and PySpark, and collaborating with developers and QAs to ensure high-quality data delivery across AWS, MuleSoft, and Databricks-based platforms.
Requirements
- Master’s degree and 3 to 7 years of Computer Science, IT or related field experience
- Bachelor’s degree and 5 to 9 years of Computer Science, IT or related field experience
- Diploma and 7 to 11 years of Computer Science, IT or related field experience
- Experience in testing automation in front end portals, Mobile iOS applications,.Net Framework and data pipelines
- Practical experience with manual validation of data pipelines and source-to-target testing
- Familiarity with data integration tools and platforms such as Databricks, AWS Glue, Redshift, Veeva/Salesforce
- Strong understanding of test planning, defect tracking, bug lifecycle management, and QA documentation
- Experience working in Agile/Scrum environments with standard QA processes
- Knowledge of test case and defect management tools (e.g., JIRA, TestRail, Zephyr)
- Strong understanding of QA methodologies, test planning, test case design, and defect lifecycle management
- Deep hands-on expertise in SQL, Python, and PySpark for testing and automating validation
- Proven experience in manual and automated testing of batch and real-time data pipelines
- Familiarity with data processing and analytics stacks: Databricks, Spark, AWS (Glue, S3, Athena, Redshift)
- Experience with bug tracking and test management tools like JIRA, TestRail, or Zephyr
- Ability to troubleshoot data issues independently and collaborate with engineering for root cause analysis
- Experience in integrating automated tests into CI/CD pipelines (e.g., Jenkins, GitHub Actions)
- Experience validating data from various file formats such as JSON, CSV, Parquet, and Avro
- Strong ability to validate and automate data quality checks: schema validation, null checks, duplicates, thresholds, and transformation validation
- Hands-on experience with API testing using Postman, pytest, or custom automation scripts
- Experience with testing tools such as Selenium, Copado Robotic Testing, COFTA and other tools
- Strong understanding of data modeling, data warehousing, and data integration concepts
- Knowledge of AnyPoint Platform, Python, Java, Databricks, Salesforce Platform, AWS cloud data platforms
- Proficiency in using AI tools
- Certified AWS Professional or Associate certification (preferred)
- Salesforce Certification (preferred)
Benefits
- Competitive compensation and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
- Comprehensive health and wellness programs
- Diverse and inclusive workplace
- Paid time off and flexible work arrangements
- Professional certifications and training opportunities
- Generous parental leave policy
