Senior Data Engineer
Hybrid · Pune, Maharashtra, India
Job Summary
Senior Data Engineer responsible for designing, building, and operating enterprise-grade data products that power analytics, reporting, and AI across Hershey’s business domains. Partner with stakeholders to translate requirements into technical designs; design, build, and maintain scalable data pipelines and transformations using Azure and Databricks; implement ingestion frameworks and repeatable workflows; develop physical and semantic data models; apply performance tuning, security, and reliability practices; align with enterprise architecture and platform standards; embed governance through lineage, metadata, documentation, and automated data quality checks; collaborate with Domain SMEs, Platform Engineering, and Data Operations to ensure documentation, certification, and governance coverage. The role focuses on end-to-end lifecycle of data products from ingestion and modeling to certification and sustainable operations, contributing to a scalable, governed, and durable data ecosystem that supports analytics and AI across the enterprise.
Required Qualifications
- Bachelor's/Master's in Data Science, Engineering, or a related field
- 5-7 years of experience in data, analytics, or engineering roles
- Proficiency in one or more general-purpose programming languages (e.g., Java, C/C++, C#, Python, JavaScript)
- Working knowledge of SQL-based and NoSQL technologies (e.g., PostgreSQL, MySQL, MongoDB)
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