Data Engineer

Responsibilities: Architect, Design, document & implement the data pipelines to feed data models for subsequent consumption in Snowflake using dbt, and airflow.
Ensure correctness and completeness of the data being transformed via engineering pipelines for end consumption in Analytical Dashboards.
Actively monitor and triage technical challenges in critical situations that require immediate resolution.
Evaluate viable technical solutions and share MVPs or PoCs in support of the research
Develop relationships with external stakeholders to maintain awareness of data and security issues and
trends
Implement Data Performance and data security policies that align with governance objectives and regulatory
requirements
Requirements: Bachelor's degree in Computer Science or similar field
6-12 years of experience in a Data Engineer role with hands-on and extensive experience in Azure Cloud.
An ideal candidate must have hands-on experience with SQL database design and Python.
Demonstrably deep understanding of SQL (level: advanced) and analytical data warehouses (Snowflake
required).
Must have exposure to technologies such as dbt, Apache airflow, and Snowflake.
Experience extracting/querying/joining large data sets at scale
A desire to work in a collaborative, intellectually curious environment
Strong communication and organizational skills
Spanish Speaking is preferred.