Description

You will own the analysis and delivery of critical data solutions.

Responsibilities

• Develop and maintain data pipelines and manage large-scale data processing tasks.
• Design and implement data models, including dimensional and data vault structures.
• Optimize and write complex SQL queries against relational database management systems.
• Build and maintain interactive dashboards and reports using BI tools.
• Manage Snowflake architecture, focusing on warehouse configuration and performance tuning.

Required Skills

• 5+ years of experience in Technical or Data Analytics roles.
• Expert proficiency in SQL, including DDL/DML scripting and query optimization on RDBMS.
• Deep experience with Snowflake architecture (Virtual Warehouses, Micropartitioning, Clustering).
• Strong hands-on experience in Data Engineering and data pipeline development.
• Proficiency in Python and Data Analysis methodologies.
• Experience working with cloud platforms AWS and Azure.
• Demonstrated skill in dashboarding and reporting using Power BI.
• Experience with data modeling concepts (dimensional/data vault).
• Familiarity with Git code repositories like GitHub.

Key Skills

Education

Any Gradute