Data Engineer 8
SourceoPuneOn-siteDirect career pageEst. 6–12 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain enterprise data platforms and pipelines supporting analytics, automation, and generative AI use cases across multiple business domains such as Supply Chain, Quality, and Finance.
- Implement data governance processes including metadata management, data quality monitoring, and ensure data products meet business and technical requirements for scalability and reliability.
- Collaborate with cross-functional teams (Product Managers, Data Scientists, Engineers) in Agile environments to deliver AI-ready, governed, and reusable data assets optimized for analytics and machine learning.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or equivalent practical experience.
- Experience developing and supporting data integration, ETL/ELT processes, data pipelines, and data transformations using modern and cloud-based data platforms.
- Working knowledge of data modeling, SQL, data quality practices, metadata management, and data governance principles at enterprise scale.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in applying Data-as-a-Product principles, delivering certified, discoverable, and well-governed data products with lineage and quality controls.
- Familiar with Agile software development in cross-functional teams involving product, engineering, and analytics stakeholders.
- Has exposure to AI/ML or Generative AI initiatives, including preparing AI-ready datasets and semantic or knowledge models supporting intelligent business applications.