Principal Data Engineer – Python Backend
Amgen (company site, opens in a new tab)12–17 yrsHyderabadOn-siteDirect career pageEst. 35–60 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable data ingestion and ETL/ELT pipelines using Python, SQL, Databricks, and Spark/PySpark.
- Develop and maintain Python backend services and REST APIs to integrate data platforms with applications and AI agents.
- Optimize Spark workloads and Databricks environments for performance, scalability, and cost efficiency.
Minimum Requirements
- 12 to 17 years of work experience.
- Bachelor's or Master's degree in IT, Computer Science, or Engineering.
- Strong Python development and SQL skills with hands-on experience in Databricks and Apache Spark/PySpark.
- Experience developing and integrating REST APIs; knowledge of relational and NoSQL databases.
Ideal Candidate Profile
- Experienced in end-to-end data engineering and backend API development integrating data pipelines across relational/NoSQL storage and AI/machine learning systems.
- Ability to optimize distributed Spark workloads and manage production-level data infrastructure.
- Proven track record working in cross-functional teams delivering integrated data solutions for applications and AI agents.