Associate Data Engineer
Amgen (company site, opens in a new tab)3–5 yrsHyderabadOn-siteDirect career pageEst. 12–20 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, test, maintain, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and Python.
- Ingest, transform, and process structured/semi-structured data while ensuring data quality, validation, and accuracy.
- Collaborate with data engineers, analysts, and scientists to support analytics, reporting, and machine learning data needs in an Agile environment.
Minimum Requirements
- 3-5 years work experience in data engineering or related field with a bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or equivalent.
- Proven hands-on experience with Python, PySpark, Databricks (including notebooks, clusters, jobs, workflows), and SQL for data processing and pipeline building.
- Experience working with structured and semi-structured data formats (CSV, JSON, Parquet, Delta) and familiarity with Delta Lake, lakehouse architecture concepts.
- Basic understanding of AI/ML concepts and experience supporting AI/ML data preparation; familiarity with cloud data platforms (AWS, Azure, or GCP).
Ideal Candidate Profile
- Experienced data engineer comfortable with end-to-end development and optimization of ETL/ELT pipelines in cloud environments using Databricks and Spark.
- Able to work cross-functionally with technical and non-technical stakeholders in Agile or iterative workflows to deliver reliable and performant datasets.
- Familiar with AI/ML data workflows and demonstrates a solid grasp of distributed data processing, data quality, and version control best practices.