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Popular data-engineer role, metro Pune, and broad generalist tech stack increase candidate competition.
Core data engineering skills are broadly transferable across industries.
Multiple mandatory technical skills and domain requirements but no explicit years requirement.
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Lead design, development, and maintenance of enterprise data pipelines and analytics platforms supporting multiple business domains including Supply Chain, Quality, Finance, and Product Lifecycle.
Implement Data-as-a-Product principles by building scalable, governed, and documented data assets with metadata, lineage, and quality controls for enterprise-wide reuse and self-service consumption.
Collaborate with Product Managers, Data Scientists, and business stakeholders to deliver AI-ready datasets, supporting GenAI, advanced analytics, and intelligent business solutions.
Bachelor’s degree in Computer Science, IT, Engineering, Data Analytics, or equivalent experience.
Intermediate experience in data engineering including data pipeline development, data modeling, SQL, and cloud data platform usage.
Proven skills with ETL/ELT, data quality validation, performance optimization, and scalable data architectures.
Work Experience Required: Intermediate experience in relevant disciplines explicitly mentioned; notice period not specified.
Experienced in cross-functional Agile environments working with Product Managers, Data Scientists, and Architects to deliver data solutions aligned to business outcomes.
Deep understanding of Data-as-a-Product operating models including data cataloging, lineage, and governance for enterprise AI use cases.
Demonstrated expertise in building AI-ready data engineering solutions supporting advanced analytics, GenAI, and knowledge management applications.