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 4
5
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 Specialist
(
T
e
st
Automation
Engineer
)
with
strong 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 for
designing 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
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.
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, JUnit, TestNG, or
PyTest
.
Must-Have Skills:
6
–
9
years of experience in QA roles, with at least
3+ years
of
strong exposure to
data pipeline testing
and
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
GraphQL
APIs, 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
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 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 data governance tools such as Apache Atlas, Collibra, or Alation
Familiarity with monitoring/observability tools such as Datadog, Prometheus,
or Cloud
Watch
Education
and Professional Certifications
Bachelor’s
/
Masters
degree 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
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
an accommodation
.
.
