The Data Platform team supports the future of AI/ML. The candidate will work on design, build, and data integration from various resources, manage big data pipelines that are easily accessible with optimized performance of big data ecosystem.
The ideal candidate is an experienced data wrangler who will support our software developers, database architects and data analysts on business initiatives. You must be self-directed and comfortable supporting the data needs of cross-functional teams, systems and technical solutions.
Data Engineering Stack: Structure big data infrastructure in accordance with the current and future technology roadmap. Develop, architect and implement core data engineering and data warehouse frameworks in support of key company data initiatives e.g. personalization, customer data platform
Data Quality & Governance: Design and build data quality monitoring framework to ensure data completeness and data integrity in data platform. Champion security and governance and ensure data engineering team adheres to all company guidelines
Data Integration: Lay down the solid foundation of Data integration of new data sources. Provide direct and ongoing leadership for a team of individual contributors designing, building & maintaining highly scalable, predictable, and modern data pipeline
- Partner with with front end team to design efficient Data Model;
- Work closely with Business Intelligence and Data Science team to provide data platform as a Service;
- Work with Data Science team to deploy ML models.