Senior Data Engineer
Amgen (company site, opens in a new tab)9+ yrsHyderabadOn-siteDirect career pageEst. 28–45 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and deployment of scalable batch and real-time data pipelines and lakehouse solutions using Databricks and AWS.
- Own integration frameworks, data governance, metadata management, and performance optimization of Spark workloads and cloud resources.
- Provide technical leadership including code reviews, mentoring engineers, collaborating across teams, and managing delivery risk in Agile frameworks.
Minimum Requirements
- Master’s degree in Computer Science, Engineering, IT, Data Science or related and at least 7 years relevant experience; OR Bachelor’s degree with at least 9 years experience.
- Advanced hands-on expertise with Databricks, Apache Spark, PySpark, Spark SQL, Delta Lake, Python, SQL.
- Experience in production-grade batch and streaming pipeline design and operation, with AWS services and orchestration tools like Databricks Workflows.
- Strong knowledge of data governance, metadata management, RBAC, security controls, CI/CD pipelines, and Agile or Scaled Agile environments.
Ideal Candidate Profile
- Experienced technical leader comfortable guiding complex, scalable data solutions in regulated industries such as biotech or pharmaceuticals.
- Proven ability to define reusable engineering standards, optimize Spark and cloud infrastructure for cost and performance, and lead cross-functional teams.
- Experienced working with enterprise data architectures including lakehouses, metadata-driven frameworks, and data governance in cloud-native environments.