Senior Data Engineer

Build efficient and robust data pipelines for large volumes of data, from internal databases and SaaS applications, using Fivetran, Airbyte or Python. Develop and optimize transformation data models using Redshift, Dbt, Dagster and other tools. Monitor and maintain our cloud data warehouse (Redshift) with timely and quality data. Set and ensure data engineering standards as part of the department goals. Collaborate with other teams to ensure data engineering needs/requests are addressed. Create and maintain documentations. Requires 5+ years hands-on experience deploying code in production, and at least 2 years of exp with DBT with hands-on experience delivering transformation pipelines with Dbt.