Required skills and experience
• Snowflake modeling – roles, databases, schemas
• SQL performance measuring, query tuning, and database tuning
• Coding in languages like Python, Java, JavaScript
• Snowflake warehousing, architecture, processing, administration
• Data ingestion into Snowflake
• Enterprise-level technical exposure to Snowflake applications
• Proficient in SQL and familiar with ETL processes
• Understanding of Azure cloud services including Azure Data Factory
• Experience with data modeling and cloud computing environments.
• Hands-on experience with Snowflake features like Time Travel and Zero-Copy Cloning
• Understanding of data compliance and security best practices
Preferred skills and experience
• Familiarity with BI such as Tableau
• Proven track record of data migration and optimization within Snowflake
• Ability to translate business needs into technical specifications.
• Experience in performance tuning and cost optimization in a cloud data platform.
• Knowledge of master data management, data warehousing and business intelligence architecture.
• Experience in data modeling and database design with excellent knowledge of SQL Server best practices.
• Excellent interpersonal/communication skills (both oral/written) with the ability to communicate at various levels with clarity & precision.
• Should have clear understanding of DW lifecycle and contribute in preparing Design documents, Unit Test plans, Code review reports.
• Experience working in Agile environment (Scrum, Lean, Kanban) is a plus
Qualifications & Experience
• Should have 4 to 5 years of experience in Data Management and specialized in Analytical data warehouse.
• 2-3 year hands on with Snowflake cloud warehouse.
Any Graduate