Data Engineer 2
Cummins Inc. (company site, opens in a new tab)3–6 yrsPuneOn-siteDirect career pageEst. 10–18 LPA
Posted 19h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain enterprise data products, pipelines, transformations, and curated datasets for reporting, analytics, automation, and GenAI use cases across business domains.
- Make data assets reusable, discoverable, and governed through metadata, lineage, and quality controls, enabling reliable self-service consumption.
- Partner with product, engineering, analytics, and business stakeholders to deliver scalable, AI-ready data solutions.
Minimum Requirements
- Work Experience Required: 3 to 6 years of relevant experience.
- Experience developing and supporting data integration, ETL/ELT processes, data pipelines, and transformations using modern data platforms and cloud technologies.
- Working knowledge of data modeling, SQL, data quality, metadata management, and data governance; ability to translate requirements into scalable, maintainable solutions.
- Bachelor’s degree in Computer Science, IT, Engineering, Data Analytics, or equivalent practical experience.
Ideal Candidate Profile
- Has experience building enterprise-scale data products and supporting multiple downstream consumers across analytics or operational domains.
- Can apply data product practices such as catalogs, lineage, quality frameworks, and certified assets; these are preferred rather than stated as mandatory.
- Exposure to AI/ML or GenAI data preparation, alongside experience working in Agile, cross-functional delivery teams, is a relevant fit.