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Key job responsibilitiesImplement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance.Produce comprehensive, usable dataset documentation and metadata.Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers.
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
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