Snowflake Developer

Challenges:

• Review, approve and operationalize data models (Conceptual, Logical and Physical).
• Create and enforce data modelling best practices following DataOps mindset.
• Create/maintain Data Warehouse Platform enabling data managers/engineers to operationalize data models.
• Collaborate with cross-functional teams to resolve data-related challenges, bridging engineering and business teams.
• Ensure data quality, accuracy, and compliance with standards like GDPR or SOX.

Who you are:

• 5+ years actual experience in designing and implementing mature Data Warehouse pipelines.
• Excellent knowledge of Dimensional (Kimball) and familiarity with Data Vault modelling techniques.
• Excellent knowledge of relational databases and SQL. Familiarity with query tuning.
• Good knowledge of data modeling best practices, data governance and data pipeline management.
• DataOps mentality, including automation and self-service tool creation to enable iterative problem-solving.
• Familiarity with automating and creating self-service tooling: CI/CD, linters, formatters to uphold modelling standards.
• Great communication skills, iterative and pragmatic approach to solving unstructured challenges.

Technologies you will use:

• Python, SQL, Snowflake
• DBT,  Automate DV
• Gitlab CI/CD, Docker, AWS
• Data modelling tools (Ellie or any other Data Modelling Tool)