ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.
ABOUT THE ROLE
Role Description:
We are seeking a highly skilled, hands-on Sr Associate Test Automation Engineerwith strong experience in data validation, ETL testing, test automation, CRM iPad Testing and QA process ownership. This role combines deep technical execution with a solid foundation in QA best practices including test planning, defect tracking, and test lifecycle management.
You will be responsible for designing and executing manual and automated test strategies for complex real-time and batch data pipelines and in Veeva CRM (iPad App) contributing to the design of automation frameworks, and ensuring high-quality data delivery across our AWS, MuleSoft and Databricks-based platforms.
Roles & Responsibilities:
Collaborate with the developers and QAs to design and implement end-to-end test strategies for data validation, CRM (Salesforce/Veeva) layer testing, and Data Migration testing.
Perform manual validation of data pipelines, including source-to-target data mapping, transformation logic, and business rule verification.
Develop and maintain automated data validation scripts using Python and PySpark for both real-time and batch pipelines.
Contributeto the design and enhancement of reusable automation frameworks, with components for schema validation, data reconciliation, and anomaly detection.
Write and manage test plans, test cases, and test data for structured, semi-structured, and unstructured data.
Track, manage, and report defects using tools like JIRA, ensuring thorough root cause analysis and timely resolution.
Collaborate with Data Engineers, Product Managers, and DevOps teams to integrate tests into CI/CD pipelines and enable shift-left testing practices.
Ensure comprehensive test coverage for all aspects of the data lifecycle, including ingestion, transformation, delivery, and consumption.
Participate in QA ceremonies (standups, planning, retrospectives) and continuously contribute to improving the QA process and culture.
Experience building or maintaining test data generators
Contributions to internal quality dashboards or data observability systems
Awareness of metadata-driven testing approaches and lineage-based validations
Experience working with agile Testing methodologies such as Scaled Agile.
Familiarity with automated testing frameworks like Selenium, Copado Robotic Testing, COFTA or PyTest.
Basic Qualifications and Experience:
Master’s degree and 3 to 7 years of Computer Science, IT or related field experience OR
Bachelor’s degree and 5 to 9 years of Computer Science, IT or related field experience OR
Diploma and 7 to 11 years of Computer Science, IT or related field experience
Functional Skills:
Must-Have Skills
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
Good-to-Have Skills:
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
Professional Certifications
Certified AWS Professional or Associate certification (preferred)
amgen