Data Engineer (Snowflake)

The Data Engineer will be responsible for designing, implementing, and maintaining the data architecture using Snowflake, optimizing data workflows, and ensuring data quality. Key duties include performing data transformations, configuring and optimizing Snowflake environments, implementing and maintaining data pipelines and ETL processes, and designing data models to support analytical needs. The role also involves monitoring and optimizing query performance in Snowflake, integrating data from various sources, managing data pipelines, developing and deploying machine learning models for process automation and customer data integration, building predictive models for internal data needs, implementing security measures for data protection, ensuring compliance with data governance requirements, and creating comprehensive documentation. Collaboration with cross-functional teams, data scientists, analysts, business stakeholders, and the IT team is crucial for delivering effective data solutions and integrating Snowflake with other systems.