Data Engineer 6
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 products and pipelines that support reporting, analytics, automation, and GenAI across multiple business domains.
- Apply Data-as-a-Product principles to create reusable, discoverable, and governed data assets with metadata, lineage, and quality controls enabling self-service and consistent outcomes.
- Collaborate with cross-functional teams including Product Managers, Data Scientists, and Engineers to deliver AI-ready, reliable, and optimized data solutions.
Minimum Requirements
- 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 enterprise data governance.
- Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, or equivalent practical experience.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Has experience with Data-as-a-Product operating models including data catalogs, lineage, and quality frameworks.
- Has exposure to AI/ML or GenAI initiatives, especially in preparing AI-ready datasets and semantic data models.
- Operates effectively in Agile, cross-functional teams involving product, engineering, analytics, and business stakeholders.