Data Engineer

August 14

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💰 Series D on 2022-05

Description

• Transform raw data into actionable insights for various departments. • Collaborate with Data Scientists, Software Engineers, and business units. • Create efficient data models, pipelines, and analytics frameworks. • Maintain Core Data tables for analytic applications. • Design, build, and maintain data models and pipelines. • Collaborate with teams to understand data needs and create solutions. • Maintain data documentation and ensure high quality source tables. • Develop integration with various data sources. • Apply best practices in data management for reliability. • Set company-wide standards for data structure and quality. • Act as a liaison between technical and non-technical teams.

Requirements

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering. • 2+ years of experience working with modern data transformation tools like DBT. • Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data. • Experience integrating and orchestrating data workflows with various modern data tools and systems. • Experience with data modeling, ETL/ELT processes, and data warehousing solutions. • Experience working with a data warehouse such as Snowflake. • Experience with a data workflow orchestrator tool such as Airflow. • Experience with a programming language such as Python. • Familiarity with BI tools such as Looker, Tableau, or similar platforms is a plus. • Exceptional quantitative and analytical skills. • Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical. • Must be willing to work in office 2 days per week on Wednesday and Thursday.