Amgen seeks an experienced Senior Data Engineer in Hyderabad to design and deliver scalable enterprise data solutions. The role involves building batch and real-time pipelines, governed data platforms, and providing technical leadership across analytics and AI initiatives.
Responsibilities
Lead design and development of scalable batch and real-time ETL/ELT pipelines for enterprise data
Build lakehouse and data-platform solutions on Databricks and AWS with structured and unstructured data integration
Optimize Spark workloads, compute resources, and SQL performance for efficiency and cost management
Develop CI/CD pipelines, automated testing, monitoring, and data-quality controls for production systems
Mentor engineers, define engineering standards, and lead architecture and code reviews across teams
Requirements
Master's in Computer Science, Engineering, or related field with 7+ years experience; or Bachelor's with 9+ years experience
Advanced expertise in Databricks, Apache Spark, PySpark, Delta Lake, Python, and SQL
Production experience designing and operating batch and streaming data pipelines
Strong AWS data, compute, storage, security, and monitoring services knowledge
Experience with data governance, metadata management, lineage, RBAC, and access controls
Proven ability leading technical design, code reviews, and complex production implementations
Experience in regulated industries (biotechnology, pharmaceutical, life sciences, or manufacturing) preferred
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