Sr. Associate Data Engineer
Amgen (company site, opens in a new tab)5–8 yrsHyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines and solutions using big data technologies and cloud platforms (AWS preferred) to support global supply chain analytics.
- Create and manage ETL processes ensuring data quality, and develop data visualizations and dashboards (Tableau, Power BI) to provide actionable business insights.
- Support data governance by maintaining data models, documentation, and compliance-related reporting (annual product reviews, regulatory inspections).
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent.
- 5–8 years of relevant work experience in IT or Information Systems; pharmaceutical industry experience preferred.
- Hands-on experience with big data technologies (Databricks, PySpark, SparkSQL), ETL processes, SQL, and data visualization tools (Tableau, Power BI).
- Proficiency in Python/R for exploratory data analysis, feature engineering, and machine learning model training.
Ideal Candidate Profile
- Experienced in designing and optimizing end-to-end data pipelines for analytics in a global supply chain or pharmaceutical business context.
- Strong technical expertise in big data ecosystems, cloud platforms (preferably AWS), and creating self-service analytics platforms for business users.
- Capable of maintaining data accuracy, governance, and documentation while supporting complex data workflows and regulatory documentation requirements.