Data Engineer 9
SourceoPuneOn-siteDirect career pageEst. 12–25 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 including data pipelines, transformations, and curated datasets supporting reporting, analytics, automation, and GenAI 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 enabling self-service consumption.
- Collaborate with Product Managers, Data Engineers, Data Scientists, and Solution Engineers to deliver AI-ready data products optimized for analytics, machine learning, and GenAI applications.
Minimum Requirements
- Experience developing and supporting data integration, ETL/ELT processes, data pipelines, and data transformations using modern data platforms and cloud-based technologies.
- Working knowledge of data modeling, SQL, data quality practices, metadata management, and data governance principles.
- 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
- Demonstrated ability to translate business and product requirements into scalable, performant, maintainable, and reusable technical data solutions.
- Experience working in Agile, cross-functional teams collaborating with product, engineering, analytics, and business stakeholders.
- Familiarity with Data-as-a-Product operating model, data catalogs, lineage, data quality frameworks, and AI/ML or GenAI initiatives including preparation of AI-ready datasets.