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Senior Data Engineer Hybrid / 10 Years
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Full-time
- We see a Senior Data Engineer as a hybrid role that combines elements of data engineering, business intelligence, and data analysis.
- You will be responsible for building (leading) end-to-end data pipelines using tools like dbt, airflow, Snowflake, and other modern data stack components.
- This role requires proficiency in SQL, dbt, data modeling, and data transformation, but also collaboration skills and business acumen as they play a crucial role in enabling data-driven decision-making within our organization
- Collaborate with DevOps and infrastructure teams to deploy and manage data platforms and services in cloud environments (AWS & Snowflake).
- 10+ years experience including design, development, data management, administration, and support building data models with dbt core deployed in Snowflake with advanced proficiency.
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