Data Engineer

• Overview: Data Engineer specializing in Snowflake; design, implement and maintain data architecture
• Responsibilities: Data transformations and design: Collaborate with cross-functional teams to understand data requirements and design scalable data transformations using Snowflake
• Snowflake implementation and maintenance: Configure and optimize Snowflake environments; implement and maintain data pipelines and ETL processes
• Data modeling: Design and implement data models to support analytical needs; work with data scientists, analysts
• Performance optimization: Monitor and optimize Snowflake query performance; apply storage, indexing, partitioning best practices
• Data integration & automation: Integrate data from various sources into Snowflake; manage pipelines; collaborate with data source owners; develop and deploy ML models to automate processes and integrate customer data across systems; build predictive models to anticipate internal data needs
• Security and compliance: Implement security measures; ensure data governance compliance
• Documentation: Create and maintain documentation; provide training on Snowflake best practices
• Collaboration: Work with data scientists, analysts, and IT to deliver data solutions; integrate Snowflake with other systems

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