Career Category
Information Systems
Job 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 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
Engineer
with strong experience i
n
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.
Contribute
to 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)
Salesforce Certification (preferred)
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
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.
.
