Data Management: Design and implement scalable data storage solutions using Snowflake’s architecture.
SQL Proficiency: Write, optimize, and troubleshoot SQL queries to ensure efficient data access and storage.
ETL Processes: Develop and manage ETL pipelines to facilitate smooth data flow into the Snowflake environment.
Collaboration: Work with cross-functional teams, including data scientists and analysts, to develop enterprise-level data solutions.
Required Skills
Technical Skills: Proficiency in SQL, data modeling, and knowledge of ETL processes are essential. Familiarity with programming languages like Python or Java can be beneficial.
Soft Skills: Strong communication skills are necessary for collaborating with stakeholders and understanding business objectives.