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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and maintenance of scalable, reliable data pipelines and large-scale data storage solutions on distributed and cloud platforms.
Design and implement data governance, quality monitoring, and metadata management processes to ensure data integrity and accessibility for analytics and AI/ML use cases.
Collaborate with product managers, data scientists, and business stakeholders to deliver AI-ready datasets and data products supporting enterprise analytics, APIs, automation, and GenAI applications.
Minimum Requirements
Intermediate experience in data engineering or related technical discipline.
Bachelor’s degree in Computer Science, IT, Engineering, Data Analytics, or equivalent practical experience.
Proficiency with cloud data platforms, ETL/ELT tools, SQL, data modeling, and performance optimization.
Experience working in cross-functional Agile teams with stakeholders including Product Managers and Data Scientists.
Ideal Candidate Profile
Experienced in designing and operating enterprise-grade data pipelines and data products under Data-as-a-Product principles with focus on metadata, lineage, and governance.
Skilled at translating complex business requirements into scalable, high-quality technical data solutions supporting diverse consumption patterns including AI/ML.
Familiar with modern cloud-based distributed data architectures and emerging AI/GenAI data engineering practices such as vector databases and semantic search.