Back
Remote role but niche Sigma+Snowflake requirement reduces applicant pool, creating moderate competition.
Snowflake skills transfer broadly, but Sigma-specific expertise increases domain bias, giving moderate background sensitivity.
Explicit 8+ years plus mandatory 3+ years Sigma and Snowflake experience enforces strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, development, and optimization of interactive Sigma Computing workbooks and custom analytics workflows powered by Snowflake.
Build and maintain complex Sigma reports, implement semantic layers, data models, and operational workflows enabling data write-backs into Snowflake.
Ensure security integration aligning Sigma access with Snowflake RBAC, row-level security, and define governance and training for self-service analytics.
8+ years of total IT experience in data engineering, BI, or enterprise data warehousing.
Minimum 3+ years hands-on experience building and optimizing analytics solutions in Sigma Computing.
Minimum 3+ years experience with Snowflake including advanced SQL, performance tuning, RBAC, and Snowflake object structures.
Work Experience Required: 8+ years total IT experience as stated. Notice Period: Not explicitly mentioned in the JD.
Experienced in designing optimized data models and semantic layers specifically for Sigma and Snowflake environments.
Proven capability to develop complex SQL queries and optimize large-scale Snowflake schemas tailored for high-performance analytics.
Skilled in establishing governance policies and training business users in self-service analytics environments.