Data Architecture Expertise: Strong background in designing and optimizing data architectures using Snowflake. Skilled in building scalable, performant data models and data pipelines for analytics and reporting.
Looker Experience: Proficient in developing LookML models, dashboards, and complex data visualizations in Looker. Able to translate business requirements into effective BI solutions.
ETL/ELT Knowledge: Hands-on experience with modern ETL/ELT tools (e.g., dbt, Fivetran, Matillion). Ability to design data transformation workflows that integrate cleanly into Snowflake.
Cloud Platforms: Familiarity with cloud platforms like AWS, GCP, or Azure, particularly in deploying data solutions and managing cloud-based infrastructure.
Cross-functional Collaboration: Comfortable working with data engineers, analysts, and business stakeholders to align data strategies with business goals.
Bonus Skills:
Data governance and security best practices.
Performance tuning in Snowflake.
Experience with data modeling methodologies (e.g., Kimball, Data Vault).