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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain enterprise-scale data products by building scalable data pipelines, transformations, and curated datasets supporting multiple business domains (Supply Chain, Quality, Finance, etc.).
Implement Data-as-a-Product principles ensuring reusable, discoverable, governed data assets with metadata, lineage, and quality controls for consistent business outcomes.
Collaborate with cross-functional teams (Product Managers, Data Engineers, Data Scientists) to deliver AI-ready data products optimized for analytics, machine learning, and GenAI applications.
Minimum Requirements
Experience developing and supporting data integration, ETL/ELT, and data pipelines using modern data platforms and cloud technologies.
Working knowledge of data modeling, SQL, data quality, metadata management, and data governance at enterprise scale.
Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, or equivalent practical experience.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced with Data-as-a-Product operating models including data catalogs, lineage, and certified data products.
Familiarity with Agile development and cross-functional collaboration involving product and analytics teams.
Exposure to AI/ML or GenAI initiatives focusing on preparing AI-ready datasets and semantic models.