Data Engineer 3
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 data products through building and managing data pipelines and transformations supporting analytics, automation, and AI/GenAI use cases.
- Implement Data-as-a-Product principles ensuring reusable, discoverable, governed data assets with metadata, lineage, and quality controls.
- Collaborate with cross-functional teams including Product Managers, Data Engineers, and Data Scientists to deliver AI-ready data products optimized for analytics and machine learning.
Minimum Requirements
- Experience developing and supporting data integration, ETL/ELT processes, and data pipelines using modern data platforms and cloud technologies.
- Working knowledge of data modeling, SQL, data quality, metadata management, and data governance for enterprise-scale data products.
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or equivalent practical experience.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in implementing Data-as-a-Product operating models including data catalogs, lineage, and certified data products.
- Familiar with AI/ML or GenAI initiatives, including preparation of AI-ready datasets and semantic models for intelligent business solutions.
- Skilled at translating business/product requirements into scalable, maintainable, and reusable technical data solutions within Agile cross-functional teams.