2 months ago
Hyderābād, IndiaSenior
Responsibilities
- Define and implement end-to-end test strategies, test plans, test cases, test data, traceability, regression plans, and release validation across CRM, mobile, API, integration, and data scenarios.
- Perform manual and automated validation of structured, semi-structured, and unstructured data pipelines, including mapping, transformations, schema checks, reconciliation, anomaly detection, and migration-quality checks.
- Design, develop, maintain, and execute reusable automation frameworks, regression suites, and data-validation scripts.
- Automate API and integration testing across middleware, CRM, cloud, data, and upstream/downstream systems.
- Build reusable components for schema validation, data reconciliation, anomaly detection, test-data generation, mocks, stubs, and migration checks.
- Integrate automated tests into CI/CD pipelines and support quality gates, shift-left testing, and smoke, functional, API, mobile, integration, data, and regression validation.
- Track and report defects using JIRA and related tools, including root-cause analysis, retesting, QA metrics, and quality reporting.
- Apply Generative AI and AI-assisted tools to test creation, automation development, test-data generation, defect triage, documentation, and coverage analysis while reviewing outputs for security, privacy, compliance, and governance.
Requirements
- Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline with 1–3 years of relevant experience; bachelor’s degree with 3–5 years; or diploma with 7–9 years.
- Hands-on QA automation experience across enterprise applications, CRM, APIs, integrations, mobile applications, and/or data platforms.
- Experience testing front-end portals, mobile iOS applications, .NET Framework applications, and data pipelines.
- Strong experience with manual and automated data-pipeline validation, source-to-target testing, batch and real-time processing, and data-quality checks.
- Deep hands-on expertise in SQL, Python, and PySpark for testing and validation automation.
- Experience with API testing using Postman, pytest, or custom automation scripts.
- Experience integrating automated tests into CI/CD pipelines using tools such as Jenkins or GitHub Actions.
- Knowledge of test planning, test-case design, defect tracking, bug lifecycle management, QA documentation, and Agile/Scrum delivery.
- Experience validating JSON, CSV, Parquet, and Avro data formats.
- Familiarity with Databricks, AWS Glue, Redshift, Veeva/Salesforce, Spark, AWS S3, and AWS Athena.
- Experience with JIRA, TestRail, or Zephyr.
- Practical experience using Generative AI or AI-assisted development and testing tools, with awareness of responsible AI, security, privacy, and governance requirements.
- Preferred experience with Salesforce/Veeva CRM certification, AWS certification, data modeling, data warehousing, data integration, large-scale migration testing, QA dashboards, reusable test-data generators, mocks, stubs, and AI-powered testing solutions.
- Preferred knowledge of Anypoint Platform, Python, Java, Databricks, Veeva/Salesforce Platform, and AWS cloud data platforms.
Tech Stack
Categories
About Amgen
Amgen is a public biotechnology company that discovers, develops, manufactures, and sells biologic and biosimilar therapeutics for patients with serious diseases. Its portfolio and pipeline span oncology, cardiovascular disease, osteoporosis, inflammation, and rare diseases, marketed globally through direct sales and partnerships. Founded in 1980 and headquartered in Thousand Oaks, California (NASDAQ: AMGN), Amgen is a component of the Dow Jones Industrial Average and completed the acquisition of Horizon Therapeutics in 2023.