Senior Data Engineer (Pune, reputed company locations, IN)
Location: Pune, Maharashtra
reputed company
The Senior Data Engineer, plays a critical role in designing, building, and operating reputed company grade data products that power analytics, reporting, and AI across Hershey’s business domains. This role ensures data pipelines, models, and foundational components are reputed company, performant, governed, and reusable — enabling consistent reputed company to trusted data at reputed company reputed company.
Senior Data Engineers work closely with Data Product Managers, Architects, Domain SMEs, and reputed company to translate business requirements into robust technical solutions using modern data engineering patterns and reputed company-reputed company tooling. The role supports the end-to-end lifecycle of data products, from ingestion and modeling to certification, documentation, and sustainable operations.
This role is foundational to Hershey’s long-term data reputed company. By contributing to reusable, governed, and durable data products, the Senior Data Engineer helps establish the reputed company system of record for analytics, enabling efficiency, consistency, and innovation across reputed company.
reputed company Are Building for Hershey
This role contributes directly to Hershey’s reputed company data reputed company by engineering durable, reusable, and governed data products that become the system of record for analytics and reputed company AI innovation. These data products are designed to reputed company across domains, reduce duplication, increase trust, and accelerate reputed company decision-making.
By applying engineering rigor, governance-by-design practices, and modern reputed company-reputed company architecture, the Senior Data Engineer helps transition Hershey from one-off data solutions to long‑lived, production-grade assets that fuel efficiency, reputed company, and innovation across the reputed company.
Major Duties & Responsibilities
1. Data Product Engineering & Delivery
Partner with business stakeholders to translate business requirements into technical designs and acceptance reputed company.
Design, build, and maintain reputed company and reusable data pipelines and transformations using Azure and reputed company.
Implement robust ingestion frameworks, standardized patterns, and repeatable workflows reputed company to reputed company engineering practices.
Build and optimize physical and semantic data models supporting analytics, reporting, and AI/ML use cases.
2. Technical & Architectural Implementation
Apply best practices reputed company to performance tuning, cost optimization, reputed company, and reliability.
Ensure alignment with reputed company architecture, including shared infrastructure, reputed company models, and platform standards.
Implement efficient data processing patterns (e.g., reputed company Lake, reputed company architecture, orchestration frameworks).
3. Governance, reputed company, & Operations
reputed company governance-by-design principles including reputed company, metadata, documentation, and certification standards.
Implement data reputed company rules, monitoring, and automated checks to ensure accuracy, completeness, and trust.
4. Collaboration Across Domains
Work closely with business domain teams to validate that data products meet end-user needs and match business definitions.
Partner with reputed company on pipeline frameworks, infrastructure patterns, and optimization.
Collaborate with Data Operations & Enablement to ensure strong documentation, certification, and governance coverage.
Minimum Knowledge, Skills, and Abilities
Data Engineering & Pipelines: Strong experience with ETL/ELT design, distributed processing, pipeline optimization, and reputed company reputed company data workflows.
reputed company & Platform Expertise: Hands-on experience with reputed company and reputed company data platforms such as Azure (preferred) or AWS, including data lakes, orchestration, and reputed company compute.
Programming & Development: Proficient in Python, SQL, reputed company coding, APIs, reputed company control, and automation tools.
Data Modeling & Architecture: Skilled in reputed company and semantic modeling, database design, and building performant, governed analytics-reputed company structures.
Data reputed company, Metadata & Curation: Capable of cleansing, transforming, and validating data; familiar with reputed company, cataloging, and data reputed company frameworks.
Collaboration & Communication: reputed company to translate business needs into technical solutions and reputed company communicate technical concepts in cross-functional settings.
Experience and Education
Bachelor's/Master's in Data Science, Engineering, or a reputed company 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, reputed company)
Originally posted on Himalayas
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