Senior Data Engineer

About the role

The Senior Data Engineer will design, build, and operate enterprise‑grade data products that power analytics, reporting, and AI across Hershey’s business domains. Working from Pune, you will ensure data pipelines, models, and foundational components are scalable, performant, governed, and reusable, establishing a trusted system of record for the organization.

Key responsibilities

• Partner with business stakeholders to translate requirements into technical designs and acceptance criteria.
• Design, develop, and maintain scalable, reusable data pipelines and transformations using Azure and Databricks.
• Implement robust ingestion frameworks, standardized patterns, and repeatable workflows aligned with enterprise engineering practices.
• Build and optimize physical and semantic data models supporting analytics, reporting, and AI/ML use cases.
• Apply best practices for performance tuning, cost optimization, security, and reliability.
• Ensure alignment with enterprise architecture, shared infrastructure, canonical models, and platform standards.
• Implement efficient data processing patterns such as Delta Lake, medallion architecture, and orchestration frameworks.
• Embed governance‑by‑design principles, including lineage, metadata, documentation, and certification.
• Define and monitor data quality rules, automated checks, and alerts to guarantee accuracy and completeness.

Required profile

• Proven senior‑level experience designing and operating large‑scale data platforms.
• Strong collaboration skills with product managers, architects, domain SMEs, and platform engineering teams.
• Ability to translate complex business needs into robust, production‑grade technical solutions.

Required skills

• Azure cloud services
• Databricks
• Delta Lake
• Data pipeline development
• Data modeling (physical and semantic)
• Data quality and governance frameworks
• Performance tuning and cost optimization
• Security and reliability best practices

What we offer

• Opportunity to shape Hershey’s long‑term data strategy.
• Work on enterprise‑scale, production‑grade data products.
• Collaborative environment with cross‑functional experts.