Data Engineer 7
SourceoPuneOn-siteDirect career pageEst. 12–22 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain enterprise-scale data pipelines and data products using modern ETL/ELT processes across multiple business domains (Supply Chain, Quality, Finance, Product Lifecycle).
- Apply Data-as-a-Product principles to create reusable, governed data assets with metadata, lineage, and quality controls for self-service consumption.
- Collaborate with cross-functional teams (Product Managers, Data Scientists, Engineers) to deliver AI-ready, optimized data solutions for analytics, machine learning, and GenAI use cases.
Minimum Requirements
- Experience developing and supporting data integration, ETL/ELT, and data transformations on modern cloud-based platforms.
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or equivalent practical experience.
- Working knowledge of data modeling, SQL, data quality, metadata management, and data governance principles at enterprise scale.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience operating within a Data-as-a-Product framework including use of data catalogs, lineage, and certified data products.
- Experience working in Agile, cross-functional teams with ability to translate business/product requirements into scalable technical solutions.
- Exposure to AI/ML or GenAI data initiatives, including preparation of AI-ready datasets and semantic models.