Design and maintain batch and streaming pipelines across AWS, Airflow, DBT, Snowflake.
Develop and optimize data models in Snowflake for quality and performance at scale.
Collaborate with Product Analysts and AI teams on segmentation and predictive models.
Partner with cross-functional teams to translate requirements into scalable data architecture.
Implement end-to-end observability and cost/performance optimization in Snowflake and AWS.

🎯 Requirements

6+ years of experience as a Data Engineer or similar role.
Expert SQL skills and hands-on data warehouse experience (Snowflake a plus).
Strong ETL/ELT experience with DBT, Airflow, or similar.
Proficiency in Python or another programming language for data processing.
Strong knowledge of data modeling (dimensional modeling, Data Vault, etc.).
Experience with cloud platforms, preferably AWS.

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