Build and maintain scalable data pipelines using Snowflake OpenFlow and related Snowflake-native tools.
Assist in migrating existing Dataiku pipelines into Snowflake to simplify architecture and improve efficiency.
Continuously improve workflows for performance, reliability, and maintainability.

Semantic Modeling & Views:

Develop and maintain Snowflake semantic views that support analytics and reporting needs.
Apply data modeling best practices to ensure consistency across business domains.
Support creation of governed, role-based semantic layers for Finance, Operations, and other enterprise areas.

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
At least 5 years of experience as a Data Engineer or in a similar role.

Required Skills & Experience:

Snowflake expertise: SQL, OpenFlow, Tasks/Streams, and performance optimization.
Hands-on with AWS (S3, IAM, Glue, Lambda a plus ).
ETL/ELT engineering: Experience building and optimizing data pipelines.

Alliance

They are building the next-generation analytics stack centered on Snowflake (AWS) and Sigma. They value diverse perspectives and innovation.