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Key job responsibilities
Design, build, and maintain scalable and robust data pipelines for extracting, transforming, and loading (ETL) data from various structured and unstructured sources.
Develop solutions to integrate data from multiple internal and external sources, ensuring accuracy, consistency, and reliability. Manage data storage solutions to optimize performance and cost-efficiencyCollaborate with data analysts, BI engineers, software developers, and other stakeholders to understand data needs and provide solutions aligned with business requirements. Engage in cross-functional projects to support WW FBA initiatives
- Bachelor's degree in quantitative study such as Computer Science, Computer Engineering, Mathematics, or equivalent experience
- 3+ years of data engineering experience
- 3+ years of writing advanced SQL queries
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, R, or NodeJS
- Proficiency in written and verbal communication skills including comfortability communicating and presenting to senior leadership
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