Sr Associate Test Automation Engineer

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.

Contributeto 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.

.