Data Engineer
November 22
Description
• Develop and manage performant Postgres database to support conservation analytics platform • Develop complex back-end queries using Postgres and/or PostGIS • Implement and manage ETL jobs and data pipelines in an AWS environment
Requirements
• Proficiency in data engineering concepts, including ETL processing, data warehousing, schema design and optimization/data modeling • Overall 6 years of experience • 3 years of experience using PostgreSQL to support high performant data analytics platform • 3 years of experience with PostgreSQL data tuning, permissions management • Excellent communication skills • Experience leveraging Git as a code repository • Preferred Experience working with NRCS conservation datasets • Experience leveraging PostGIS for geospatial integration and automation • Experience with QGIS and ESRI for visualizing geospatial data • Experience publishing services and creating web mapping applications using open-source web mapping or ESRI web mapping platforms. • Experience in FME model development • Experience in Python • Experience with Liquibase or any equivalent database deployment tool. • Familiarity with Visualization tools like Tableau, PowerBI • SAFe certification or experience working in an agile environment
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