Data Engineer 5
SourceoPuneOn-siteDirect career pageEst. 8–16 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.
- Apply Data-as-a-Product principles to create reusable, discoverable, and governed data assets with proper metadata, lineage, and quality controls.
- Collaborate with Product Managers, Data Engineers, Data Scientists, and Solution Engineers to deliver AI-ready, reliable, well-structured data optimized for analytics and machine learning applications.
Minimum Requirements
- Experience developing and supporting data integration, ETL/ELT, data pipelines, and transformations using modern data platforms and cloud technologies.
- Working knowledge of data modeling, SQL, data quality practices, metadata management, and enterprise data governance.
- 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
- Proven ability to translate business and product requirements into scalable, maintainable, high performance technical solutions in data engineering.
- Experience working in Agile, cross-functional teams collaborating closely with product, engineering, analytics, and business stakeholders.
- Familiarity or experience with Data-as-a-Product operating models, AI/ML or GenAI initiatives, and creating AI-ready datasets and semantic models preferred but not mandatory.