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Popular Data Engineer role with broad skillset in Pune plus metro location increases applicant density.
Technical data engineering skills are highly transferable across industries, so background fit sensitivity is low.
No explicit years but multiple required data engineering skills and cloud experience increase screening rigor.
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Develop and maintain enterprise-scale data pipelines and curated data products supporting analytics, automation, and AI/GenAI use cases across various business domains.
Implement Data-as-a-Product principles to ensure data assets are reusable, governed, and optimized with metadata, lineage, and quality controls to enable consistent and self-service consumption.
Collaborate with cross-functional teams including Product Managers, Data Engineers, Data Scientists, and Solution Engineers to deliver AI-ready, reliable, and well-structured data for advanced analytics and machine learning applications.
Experience developing and maintaining data integration, ETL/ELT processes, and data pipelines on modern cloud-based platforms.
Working knowledge of data modeling, SQL, data quality, metadata management, and data governance supporting enterprise data products.
Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, or equivalent practical experience.
Work Experience Required: Not explicitly mentioned in the JD.
Has practical experience with Data-as-a-Product models, including data catalogs, lineage, and quality frameworks at enterprise scale.
Familiar with Agile development in cross-functional teams involving product, analytics, and engineering stakeholders.
Exposure to AI/ML or GenAI data preparation including semantic models and knowledge asset creation for intelligent business solutions.