Data Engineer 12
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 scalable enterprise data products and pipelines supporting analytics, AI, automation, and GenAI use cases across multiple enterprise domains.
- Implement Data-as-a-Product principles to ensure data assets are reusable, discoverable, governed with metadata, lineage, and quality control.
- Collaborate cross-functionally with Product Managers, Engineers, and Data Scientists to deliver AI-ready data products optimized for machine learning and analytics.
Minimum Requirements
- Experience in developing and supporting data integration, ETL/ELT processes, data pipelines with modern cloud-based data platforms.
- Proficient in data modeling, SQL, data quality, metadata management, and enterprise data governance principles.
- Bachelor's degree in Computer Science, IT, Engineering, Data Analytics or equivalent practical experience.
- Work Experience Required: Relevant experience preferred but not explicitly quantified; exposure can include internships, co-ops, or academic projects.
Ideal Candidate Profile
- Experienced in working within Agile, cross-functional teams collaborating with product, engineering, analytics, and business stakeholders.
- Familiarity or experience applying Data-as-a-Product operating models including catalogs, lineage, and certified data products.
- Knowledge or exposure to AI/ML or GenAI initiatives, especially in preparing AI-ready datasets and semantic models.