Data Engineer 10
SourceoPuneOn-siteDirect career pageEst. 10–20 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 and pipelines to support reporting, analytics, automation, and AI use cases across multiple business domains.
- Implement Data-as-a-Product principles to create reusable, discoverable, and governed data assets with metadata, lineage, and quality controls.
- Collaborate with cross-functional teams including Product Managers, Data Scientists, and Engineers to ensure data reliability and optimization for analytics and AI applications.
Minimum Requirements
- Experience in 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 principles.
- 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
- Experience working in Agile, cross-functional teams collaborating with product, engineering, analytics, and business stakeholders.
- Familiarity with Data-as-a-Product operating models including data catalogs, lineage, and quality frameworks.
- Exposure or experience with AI/ML or GenAI initiatives, and preparing AI-ready datasets for intelligent business solutions.