Senior Data Engineer

Design and maintain robust, scalable ELT data pipelines using dbt within Snowflake for data transformation.

Orchestrate and schedule complex data workflows with Apache Airflow to ensure timely and reliable data delivery.

Optimize Snowflake usage, enforce data governance and security practices, and solve strategic business problems through computational methods.

Bachelor or Master degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or related technical field.

5+ years of hands-on experience with SQL or data warehouse/lake systems including data loading, transformations, optimization, and security.

Proven expertise with dbt for building and managing complex data transformation pipelines, including Jinja templating and documentation.

Strong experience with Apache Airflow for production-grade data pipeline orchestration and Python scripting for data manipulation and API integration.

Experienced in designing and optimizing data architecture within Snowflake including schema design, query performance, and warehouse management.

Comfortable operating at the intersection of technical and business domains, translating complex data concepts to non-technical stakeholders.

Background in digital banking or financial services, understanding financial data concepts and regulatory considerations, is a strong plus.