Snowflake Data Engineer

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Description

Accountabilities - Cloud Data Warehouse Development: Develop, maintain, and optimize data warehouse solutions using Snowflake to support business reporting, analytics, and data-driven decision-making. - Data Pipeline Engineering: Design, build, and maintain ETL/ELT pipelines that extract, transform, and load data efficiently from multiple enterprise source systems into Snowflake. - SQL Development & Optimization: Write, test, and optimize complex SQL queries and data transformations to improve processing efficiency, query performance, and overall warehouse utilization. - Data Integration: Integrate data from diverse sources, ensuring consistent, reliable, and accessible information across the organization's data ecosystem. - Data Modeling & Transformation: Develop and maintain data models, structured datasets, and analytical data layers that meet reporting and business intelligence requirements. - Python-Based Development: Where applicable, use Python, Snowflake stored procedures, and user-defined functions to automate workflows and implement advanced data processing logic. - Performance Monitoring & Troubleshooting: Identify and resolve data quality issues, pipeline failures, query bottlenecks, and warehouse performance challenges. - Cloud Platform & Tool Integration: Work with cloud infrastructure, orchestration tools, and data transformation technologies to support reliable and scalable data workflows. - Security & Access Management: Support Snowflake security configuratio

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