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• Write, optimize, and troubleshoot SQL queries within the Snowflake environment. • Integrate Snowflake with various data sources and third-party tools. • Ensure data security and compliance with industry standards. • Collaborate with cross-functional teams to meet data-driven business objectives. • Stay updated with the latest Snowflake features and best practices.
• 2 to 4 years of experience in data management, specializing in analytical data warehouses. • 2-3 years hands-on with Snowflake cloud warehouse. • 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. • 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 clearly understand the DW lifecycle and contribute to preparing Design documents, Unit Test plans, and Code review reports. • Experience working in an Agile environment (Scrum, Lean, Kanban) is a plus.
• Health insurance • Remote work options • Professional development
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