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 creative 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 and detail-oriented Data Engineering Test Automation Engineer to ensure the quality reliability and performance of our data pipelines and platforms The ideal candidate has strong experience in data testing ETL validation and automation frameworks and will work closely with data engineers analysts and DevOps to build robust test suites This role involves designing and executing both manual and automated tests for real-time and batch data pipelines across AWS and Databricks platforms while applying QA best practices in test planning defect tracking and lifecycle management to ensure high-quality data delivery In addition the resource should have hands-on expertise in front-end Node js testing and performance testing of infrastructure components ensuring that user-facing systems are validated for responsiveness scalability and reliability Experience with modern front-end test automation frameworks and load performance testing tools is highly desirable Roles Responsibilities Design develop and maintain automated test scripts for data pipelines ETL jobs and data integrations Validate data accuracy completeness transformations and integrity across multiple systems Collaborate with data engineers to define test cases and establish data quality metrics Develop reusable test automation frameworks and CI CD integrations e g Selenium Jenkins GitHub Actions Perform performance and load testing for data systems Maintain test data management and data mocking strategies Identify and track data quality issues ensuring timely resolution Perform root cause analysis and drive corrective actions Contribute to QA ceremonies standups planning retrospectives and drive continuous improvement in QA processes and culture Build and automate end-to-end data pipeline validations across ingestion transformation and consumption layers using Databricks Apache Spark and AWS services such as S3 Glue Athena and Lake Formation Basic Qualifications and Experience Master s degree with 4 - 6 years of experience in Computer Science IT or related field OR Bachelor s degree with 6 - 8 years of experience in Computer Science IT or related field Functional Skills Must-Have Skills Experience in QA roles with strong exposure to data pipeline validation and ETL Testing Hands-on expertise in front-end Node js testing and performance testing of infrastructure components Validate data accuracy transformations schema compliance and completeness across systems using PySpark and SQL Strong hands-on experience with Python and optionally PySpark for developing automated data validation scripts Proven experience in validating ETL workflows with a solid understanding of data transformation logic schema comparison and source-to-target mapping Experience working with data integration and processing platforms like Databricks Snowflake AWS EMR Redshift etc Experience in manual and automated testing of data pipelines executions for both batch and real-time data pipelines Perform performance testing of large-scale complex data engineering pipelines Ability to troubleshoot data issues independently and collaborate with engineering teams for root cause analysis Strong understanding of QA methodologies test planning test case design and defect lifecycle management Hands-on experience with API testing using Postman pytest or custom automation scripts Experience integrating automated tests into CI CD pipelines using tools like Selenium JUnit Jenkins GitHub Actions or similar Knowledge of cloud platforms such as AWS Azure GCP Good-to-Have Skills Certifications in Databricks AWS Azure or data QA e g ISTQB Understanding of data privacy compliance and governance frameworks Knowledge of UI automated testing frameworks like Selenium JUnit TestNG Familiarity with monitoring observability tools such as Datadog Prometheus or Cloud Watch Frameworks like Mocha Jest and performance testing tools like JMeter or k6 Professional Certifications Preferred AWS Certified Data Engineer Data Analyst preferred on Databricks or cloud environments 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 an accommodation

📌 Software Development Test Engineer (Telangana)
🏢 AMGEN
📍 Telangana