Description
**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 45 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** **Senior** **QA & Test Automation** **Engineer** , will play a critical role in ensuring the **accuracy, reliability, and performance** of our enterprise data platforms. Reporting to the **Test Automation Engineering Manager** , you will work at the intersection of **data engineering, quality assurance, and automation** to validate complex data flows across **pipelines** , with a special focus on **semantic layer validation** and **GraphQL** **API testing** .
This is a **hands-on role** that demands deep technical proficiency in both **manual and automated data validation** . You will be responsible for understanding the business logic behind data transformations, validating the flow of data through various systems, and ensuring that semantic and API layers deliver consistent and contract-compliant outputs.
You will actively participate in the **design and development of automation frameworks** , collaborating closely with the QA Manager and engineering teams to ensure testability and maintainability are built into the system from the start. You will also contribute to **test strategy, execution planning, and defect lifecycle management** , working across cross-functional teams to maintain high standards for data quality.
This role is ideal for someone who is passionate about **data quality** , has hands-on experience with **ETL/ELT pipelines** , is comfortable working with **cloud-native data platforms (AWS, Databricks, etc.)** , and has a strong grasp of **testing best practices** , including API schema validation, CI/CD integration, and semantic layer testing.
You’ll have the opportunity to shape and contribute to a **modern data quality engineering practice** , ensuring that downstream consumers such as analytics teams, business stakeholders, and machine learning models can fully trust the data they rely on.
**Roles & Responsibilities:**
+ Collaborate with the Test Automation Manager to design and implement **end-to-end test strategies** for data validation, semantic layer testing, and GraphQL API validation.
+ 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.
+ 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, dbt models) and **GraphQL** **APIs** , ensuring data consistency, compliance with contracts, and alignment with business expectations.
+ Track, manage, and report **defects** using tools like **JIRA** , ensuring proper prioritization, root cause analysis, and resolution.
+ Collaborate with Data Engineers, Product Managers, and DevOps teams to integrate tests into CI/CD pipelines and promote shift-left testing practices.
+ Ensure comprehensive test coverage across the data lifecycle, including data ingestion, transformation, delivery, and consumption.
+ Participate actively in QA ceremonies (daily standups, sprint planning, retrospectives), and continuously drive improvements to QA processes and culture.
**Good-to-Have Skills:**
+ Experience with data governance tools such as Apache Atlas, Collibra, or Alation
+ 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, JUnit, TestNG, or PyTest.
**Must-Have Skills:**
+ 6–9 years of experience in QA roles, with at least 3+ years focused on ETL/Data Pipeline Testing in cloud-native environments.
+ Strong in SQL, Python, and optionally PySpark – comfortable writing complex queries, automation scripts, and custom data validation logic.
+ Practical experience with manual validation of data pipelines, including source-to-target testing and business rule verification.
+ Proven ability to support, maintain, and enhance automation test suites and contribute to framework improvements in collaboration with QA leadership.
+ Experience validating GraphQL APIs, semantic layers (e.g., Looker, dbt), and ensuring schema/data contract compliance.
+ Familiarity with data platforms and tools such as Databricks, AWS Glue, Redshift, Athena, or BigQuery.
+ Strong understanding of QA methodologies, including test planning, test case design, test data management, and defect lifecycle tracking.
+ Proficiency in tools like JIRA, TestRail, or Zephyr for test case and defect management.
+ Skilled in building and automating data quality checks: schema validation, null checks, duplicates, threshold alerts, and data transformation validation.
+ Hands-on with API testing using tools like Postman, pytest, or custom automation frameworks built in Python.
+ Experience working in Agile/Scrum environments, actively participating in QA ceremonies and sprint cycles.
+ Exposure to integrating automated tests into CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI.
**Education** **and Professional Certifications**
+ Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered; Master’s degree and 6+ years’ experience Or Bachelor’s degree and 8+ years
**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 participate in 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 accommodation.
