Software Development Test Engineer
Software Development Test Engineer
India - Hyderabad APLICAR AHORAJoin Amgen’s Mission of Serving Patients
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Software Development Test Engineer
What you will do
Let’s do this. Let’s change the world. We are seeking a highly skilled and detail-oriented Data Engineering Test Automation Engineer to ensure the quality, reliability, and performance of our data pipelines and platforms. The ideal candidate has strong experience in data testing, ETL validation, and automation frameworks, and will work closely with data engineers, analysts, and DevOps to build robust test suites. This role involves designing and executing both manual and automated tests for real-time and batch data pipelines across AWS and Databricks platforms, while applying QA best practices in test planning, defect tracking, and lifecycle management to ensure high-quality data delivery.
Roles & Responsibilities:
Design, develop, and maintain automated test scripts for data pipelines, ETL jobs, and data integrations.
Validate data accuracy, completeness, transformations, and integrity across multiple systems.
Collaborate with data engineers to define test cases and establish data quality metrics.
Develop reusable test automation frameworks and CI/CD integrations (e.g., Jenkins, GitHub Actions).
Perform performance and load testing for data systems.
Maintain test data management and data mocking strategies.
Identify and track data quality issues, ensuring timely resolution.
Perform root cause analysis and drive corrective actions.
Contribute to QA ceremonies (standups, planning, retrospectives) and drive continuous improvement in QA processes and culture.
What we expect of you
We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications:
Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years in Computer Science, IT or related field
Experience in QA roles, with strong exposure to data pipeline validation and ETL Testing.
Validate data accuracy, transformations, schema compliance, and completeness across systems using PySpark and SQL.
Strong hands-on experience with Python, and optionally PySpark, for developing automated data validation scripts.
Proven experience in validating ETL workflows, with a solid understanding of data transformation logic, schema comparison, and source-to-target mapping.
Experience working with data integration and processing platforms like Databricks/Snowflake, AWS EMR, Redshift etc…
Experience in manual and automated testing of data pipelines executions for both batch and real-time data pipelines.
Perform performance testing of large-scale complex data engineering pipelines.
Ability to troubleshoot data issues independently and collaborate with engineering teams for root cause analysis
Strong understanding of QA methodologies, test planning, test case design, and defect lifecycle management.
Hands-on experience with API testing using Postman, pytest, or custom automation scripts
Experience integrating automated tests into CI/CD pipelines using tools like Jenkins, GitHub Actions, or similar.
Knowledge of cloud platforms such as AWS, Azure, GCP.
Preferred Qualifications:
Understanding of data privacy, compliance, and governance frameworks.
Knowledge of UI automated testing frameworks like Selenium, JUnit, TestNG
Familiarity with monitoring/observability tools such as Datadog, Prometheus, or Cloud Watch
Professional Certifications (Preferred):
AWS Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)
Certifications in Databricks, AWS, Azure, or data QA (e.g., ISTQB).
Soft Skills:
Excellent critical-thinking and problem-solving skills
Strong communication and collaboration skills
Demonstrated awareness of how to function in a team setting
Demonstrated presentation skills
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided 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.