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Generalist senior data engineering role in a metro Pune location increases applicant competition.
Data engineering skills are broadly transferable across industries.
Specific big-data, cloud, and ETL skill requirements but no explicit years requirement.
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Lead design, development, and maintenance of scalable, governed data pipelines and data products across multiple enterprise domains.
Ensure data quality, metadata management, and automation in data ingestion, transformation, and storage using modern cloud and big data platforms.
Collaborate with Product Managers, Data Scientists, and stakeholders to deliver AI/ML and GenAI-ready datasets and solutions.
Bachelor’s degree in Computer Science, IT, Engineering, Data Analytics or equivalent practical experience.
Intermediate experience in data engineering with hands-on development and support of enterprise data pipelines using cloud data platforms and ETL/ELT technologies.
Strong skills in data modeling, SQL, data quality validation, and scalable data architecture for multiple consumer patterns including analytics and AI/ML.
Experience working in cross-functional Agile teams with Product Managers, Data Scientists, and business stakeholders.
Experienced in building data products following Data-as-a-Product principles including data governance, cataloging, lineage, and certification.
Proficient in scalable data architectures and optimizing data transformations to balance quality, performance, and maintainability.
Comfortable working on enterprise AI solutions including AI/ML, GenAI, vector databases, semantic search, and AI-ready data engineering practices.