Snowflake Developer

HRSI is looking for Snowflake Developer for of their leading client.

Responsibilities:
The ideal candidate will possess comprehensive proficiency in back-end development, data
modeling/transformation using star/snowflake schema, and advanced SQL capabilities (DDL,
DML). Front-end development experience with Tableau is a prerequisite, including a deep
understanding of LODs (Level of Detail), set actions/parameter actions, and the ability to create
sophisticated visualizations such as Sankey graphs. Additionally, expertise in spatial analysis,
custom shapefiles/GeoJSON, spatial calculations, and sheet swapping techniques is highly
desirable.
Functional Responsibilities:
Data Modeling:
Design and implement data models using star and snowflake schemas to support business
intelligence.
SQL Expertise:
Leverage DDL/DML SQL to transform, analyze, and manage data efficiently.
Tableau Development:
Create advanced Tableau dashboards with features like LOD calculations, set/parameter
actions, and stunning visualizations such as Sankey diagrams. ️
Spatial Analysis:
Utilize custom shapefiles, GeoJSON, and perform spatial calculations to enhance geospatial
insights.
Dynamic Dashboards:
Implement innovative techniques like sheet swapping for dynamic user experiences.
Collaboration:
Work with cross-functional teams to deliver robust, scalable, and impactful data solutions.
Data Governance:
Ensure best practices in data accuracy, security, and compliance.
Must Have Skills:️ Proficiency in SQL (DDL/DML). ️
Expertise in star/snowflake schema modeling. ️
Advanced skills in Tableau development and spatial analysis.
Good to Have Skills:
Proficiency in Power BI and QlikView.
Relevant certifications in data analysis, SQL, Tableau, or related tools.
Additional experience with data modeling and transformation techniques.
Qualifications:
Bachelors or advanced degree in a relevant field.
Minimum of 7 years of professional experience in a data analyst or similar role. ️
Proven experience in back-end development and data modeling/transformation.

Shift Timing:
10:00 PM 6:00 AM
Location: Onsite initially, transitioning to hybrid based on performance.
After 3:00 AM, continue working from home until the end of your shift.