Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain enterprise data products through building and managing data pipelines and transformations supporting analytics, automation, and AI/GenAI use cases.
Implement Data-as-a-Product principles ensuring reusable, discoverable, governed data assets with metadata, lineage, and quality controls.
Collaborate with cross-functional teams including Product Managers, Data Engineers, and Data Scientists to deliver AI-ready data products optimized for analytics and machine learning.
Minimum Requirements
Experience developing and supporting data integration, ETL/ELT processes, and data pipelines using modern data platforms and cloud technologies.
Working knowledge of data modeling, SQL, data quality, metadata management, and data governance for enterprise-scale data products.
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or equivalent practical experience.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in implementing Data-as-a-Product operating models including data catalogs, lineage, and certified data products.
Familiar with AI/ML or GenAI initiatives, including preparation of AI-ready datasets and semantic models for intelligent business solutions.
Skilled at translating business/product requirements into scalable, maintainable, and reusable technical data solutions within Agile cross-functional teams.