Sr. Test Automation Engineer
Career Category
Information SystemsJob Description
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fullerand longer. We discover, develop, manufactureand deliver innovative medicines to help millions of patients. Amgen helped establishthe biotechnology industry more than 45years ago and remainson the cutting-edgeof innovation, using technology and human genetic data to push beyond what’s known today.
ABOUT THE ROLE
Role Description:
We are seekinga highly skilled, hands-on Senior QA & Test Automation Specialist (TestAutomation Engineer)withstrong experience in data validation, ETL testing, test automation, 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 fordesigning and executing manual and automated test strategies for complex real-time and batch data pipelines, contributing to the design of automation frameworks, and ensuring high-quality data delivery across our AWS and Databricks-based analytics platforms.
The role is highly technical and hands-on, with a strong focus on automation, metadata validation, and ensuring data governance practices are seamlessly integrated into development pipelines.
Roles & Responsibilities:
Collaborate with the QA Manager to design and implement end-to-end test strategies for data validation, semantic layer testing, and GraphQLAPI validation.
Perform manual validation of data pipelines, including source-to-target data mapping, transformation logic, and business rule verification.
Develop and maintainautomated data validation scripts using Python and PySparkfor both real-time and batch pipelines.
Contribute to the design and enhancement of reusable automation frameworks, with components for schema validation, data reconciliation, and anomaly detection.
Validate semantic layers (e.g., Looker, dbtmodels) and GraphQLAPIs, ensuring data consistency, compliance with contracts, and alignment with business expectations.
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 timelyresolution.
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 maintainingtest data generators
Contributions to internal quality dashboardsor data observability systems
Awareness of metadata-driven testing approachesand lineage-based validations
Experience working with agile Testing methodologies such as Scaled Agile.
Familiarity with automated testing frameworks like Selenium, JUnit, TestNG, or PyTest.
Must-Have Skills:
6-9years of experience in QA roles, with at least 3+ yearsof strong exposure to data pipeline testingand ETL validation.
Strong in SQL, Python, and optionally PySpark- comfortable with writing complex queries and validation scripts.
Practical experience with manual validation of data pipelines and source-to-target testing.
Experience in validating GraphQLAPIs, semantic layers (Looker, dbt, etc.), and schema/data contract compliance.
Familiarity with data integration tools and platforms such as Databricks, AWS Glue, Redshift, Athena, or BigQuery.
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 expertisein SQL, Python, and PySparkfor testing and automating validation.
Proven experience in manual and automated testingof 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 toolslike JIRA, TestRail, or Zephyr.
Ability to troubleshoot data issues independently and collaborate with engineering for root cause analysis.
Experience integrating automated tests into CI/CD pipelines(e.g., Jenkins, GitHub Actions).
Experience validatingdata from various file formats such as JSON, CSV, Parquet, and Avro
Strong ability to validateand automate data quality checks: schema validation, null checks, duplicates, thresholds, and transformation validation
Hands-on experience with API testingusing Postman, pytest, or custom automation scripts
Good-to-Have Skills:
Experience with data governance tools such as Apache Atlas, Collibra, or Alation
Familiarity with monitoring/observability tools such as Datadog, Prometheus, or CloudWatch
Educationand Professional Certifications
Bachelor’s/Mastersdegree in computer science and engineering preferred.
Soft Skills:
Excellent analytical and troubleshooting skills.
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation.
Ability to manage multiple priorities successfully.
Team-oriented, with a focus on achieving team goals
Strong presentation and public speaking skills.
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participatein the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
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