- Framework Design & Implementation: Design and implement robust data validation frameworks, focusing on the semantic layer, schema compliance, and data contract adherence.
- Data Pipeline Validation: Build and automate end-to-end data pipeline validations across ingestion, transformation, and consumption layers using technologies like Databricks, Apache Spark, and AWS services (S3, Glue, Athena, Lake Formation).
- CI/CD Integration: Lead test automation initiatives by developing scalable, modular test frameworks and embedding them into CI/CD pipelines for continuous validation.
- API & UI Testing: Validate GraphQL APIs by testing query structures and schema compliance using tools like Postman and Python. Oversee UI and visualization testing for dashboards (e.g., Tableau, Power BI) using Selenium with Python.
- QA Strategy & Leadership: Define and drive the overall QA strategy with an emphasis on performance, reliability, and semantic data accuracy. Implement alerting and reporting mechanisms for test failures and data contract violations.
- Collaboration & Mentorship: Work closely with data engineers, product managers, and architects to ensure quality is embedded from the earliest stages of development. You will also be responsible for mentoring and managing QA engineers, fostering a culture of technical excellence.
- A Bachelor's or Master's degree in Computer Science or a related field is preferred.
- A minimum of 7-12 years of overall experience in Test Automation, with 6+ years of strong experience in Data Ops/Testing.
- Expertise in designing and implementing test automation frameworks integrated with CI/CD pipelines.
- Hands-on experience with Databricks, Apache Spark, and AWS services (S3, Glue, Athena, Lake Formation).
- Proficiency in Python, PySpark, and SQL for writing validation scripts.
- A solid understanding of GraphQL APIs and experience with API testing tools like Postman.
- Experience with UI testing using Selenium with Python.
- Familiarity with CI/CD tools such as Jenkins or GitHub Actions.
- Technical: Expertise in validating data pipelines at the syntactic layer and the ability to implement alerting and reporting for test failures.
- Leadership: Proven experience in team leadership, defining QA strategies, and mentoring QA engineers.
- Collaboration: Excellent communication and collaboration skills for working with cross-functional teams in an Agile environment.
- Problem-Solving: Excellent analytical and troubleshooting skills, with a high degree of initiative and self-motivation.
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Senior Test Automation Engineer III - Hyderabad / Secunderabad, Telangana - Amgen Technology Private Limited
Description
We are looking for a highly skilled and hands-on Senior Test Automation Engineer III to join our team. The ideal candidate will have strong experience in data quality, data integration, and a specific focus on semantic layer validation. This role combines technical leadership with hands-on development, requiring you to design and implement robust automated testing frameworks for our data infrastructure. You will be instrumental in ensuring that our data pipelines, GraphQL APIs, and visualizations are accurate, reliable, and high-performing, all while mentoring a team of QA engineers.
Roles & Responsibilities
Qualifications
Competencies
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