Senior Data Engineer (Python)

What you will do Design and implement data pipelines using DBT for transformation and modeling; Manage and optimize data warehouse solutions on Snowflake; Develop and maintain ETL processes using Fivetran for data ingestion; Utilize Terraform for infrastructure as code (IaC) to provision and manage resources in AWS, Snowflake, Kubernetes, and Fivetran; Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions; Implement workflow automation using Argoworkflows to streamline data processing tasks; Ensure data quality and integrity throughout the data lifecycle. Must haves Bachelor's degree in Computer Science, Engineering, or related field; 5+ years of experience working with Python; Proven experience as a Data Engineer with a focus on DBT, Snowflake, ArgoWorkflows, and Fivetran; Strong SQL skills for data manipulation and querying; Experience with cloud platforms like AWS or Azure; Experience with Kubernetes; Familiarity with data modeling concepts and best practices; Excellent problem-solving skills and attention to detail; Ability to work independently and collaborate effectively in a team environment; Upper-intermediate English level. Nice to have +2 years experience with Golang.

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.

If you like a challenging environment where you're working with the best and are encouraged to learn and experiment every day, there's no better place — guaranteed! :)




#J-18808-Ljbffr