Data Engineer - Senior 5
Cummins Inc. (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 18–30 LPA
Posted on 25 Aug
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and maintenance of scalable data pipelines and large-scale data platforms to support analytics, reporting, APIs, and AI use cases across multiple enterprise domains.
- Implement Data-as-a-Product principles, ensuring data assets are governed, discoverable, high-quality, and well-documented for broad self-service consumption.
- Collaborate cross-functionally with Product Managers, Data Scientists, and business stakeholders to deliver AI-ready datasets and support GenAI and advanced analytics solutions.
Minimum Requirements
- Bachelor’s degree in Computer Science, IT, Engineering, Data Analytics, or equivalent experience.
- Intermediate experience in data engineering including designing and supporting enterprise data pipelines using modern cloud data platforms and ETL/ELT technologies.
- Proficiency with data modeling, SQL development, data quality validation, and scalable data architectures supporting reporting, APIs, analytics, and AI/ML.
- Experience working in Agile cross-functional teams with Product Managers, Data Scientists, and Architects to deliver business outcomes.
Ideal Candidate Profile
- Experienced in building and optimizing reusable data pipelines and domain-aligned data products within a Data-as-a-Product operating model including metadata, lineage, and governance.
- Skilled in translating business requirements into scalable, maintainable data engineering solutions balancing quality and performance.
- Familiarity or exposure to AI/ML, GenAI, vector databases, semantic search, and AI-ready data engineering practices supporting enterprise AI solutions.