Senior Data Engineer

October 2

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Description

β€’ Design and implement ETL processes in a cloud environment β€’ Design and implement monitoring solutions for ETL processes β€’ Document datasets for data warehouse consumers β€’ Serve as a technical resource for consumers of the data warehouse, in particular the Data Science team and other internal business units

Requirements

β€’ 5+ years of experience building ETL processes β€’ 4+ years of experience with one or more cloud-hosted databases (Snowflake, Synapse Analytics, Redshift or similar) β€’ Strong understanding of ETL principles and practices β€’ Data Modeling expertise β€’ Excellent SQL skills β€’ Exemplary organization and time management skills while working both independently and within a team structure β€’ Ability to break down and translate business needs into development tasks

Benefits

β€’ Generous Flexible Time Off (FTO) Policy β€’ Up to 15 paid company holidays including some commemorating social justice events and self-care β€’ Paid volunteer time β€’ Resources for savings and investments β€’ Paid parental leave β€’ Paid sick leave β€’ Health, vision, dental, and life insurance with additional access to health and wellness programs. β€’ Opportunities to learn, develop, network, and connect

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