Data Engineer 11
SourceoPuneOn-siteDirect career pageEst. 6–14 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 pipelines and transformations to support reporting, analytics, automation, and GenAI use cases across multiple domains such as Supply Chain and Finance.
- Implement Data-as-a-Product principles ensuring data assets are reusable, discoverable, governed with metadata, lineage, and quality controls to enable self-service and consistent outcomes.
- Collaborate with cross-functional teams including Product Managers, Data Engineers, and Data Scientists to deliver AI-ready, reliable, and optimized data products for analytics and machine learning applications.
Minimum Requirements
- Experience with developing and supporting data integration, ETL/ELT, data pipelines, and transformations on modern and cloud-based data platforms.
- Working knowledge of data modeling, SQL, data quality practices, metadata management, and data governance for enterprise data products.
- Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, or equivalent experience.
- Work Experience Required: Relevant experience preferred but not explicitly specified (internships, co-op, or extracurricular team activities considered).
Ideal Candidate Profile
- Has hands-on experience with Data-as-a-Product models including data catalogs, lineage tracking, and data quality frameworks.
- Experienced in collaborative Agile environments working with cross-functional teams on data platforms supporting AI/ML or GenAI projects.
- Strong ability to translate business/product requirements into scalable, maintainable, and efficient technical data solutions.