Stanford University
Hybrid (Stanford, CA, USA)
Responsible for performing difficult or complex analysis, design and programming involving multi-project leadership and broad responsibility in support of new and existing Data Engineering Projects and production support activities.
CORE DUTIES:
Collaborate with IT and business partners to devise a data strategy that caters to Stanford requirements.
Deep understanding and commitment to software engineering principles/processes (e.g. Lean, Agile, DevOps, CI/CD) and continuous improvement through measurement
Thorough knowledge, expertise, and practice Data Management Framework to design world-class data stores. Best practices, Data Quality, and security are critical.
Understand data endpoints, consumers, and develop strategy.
Fluid end-to-end data vision, design pipelines for seamless data flow.
Lead and perform the design, development, implementation, and maintenance of complex Data Store/ Data Lake/Lake house and Data warehousing systems and...