Snowflake Data Integration Specialist
3 weeks ago
The ideal candidate should possess a strong background in Snowflake, with a minimum of 3+ years of experience in designing and implementing data integration processes.
Key Responsibilities:
Data Integration Design and ImplementationDesign and implement data integration processes to ensure efficient data flow and synchronization.
Develop workflows to meet project requirements, utilizing Snowflake's data integration capabilities.
Collaboration and Requirement AnalysisEngage with stakeholders to gather and understand data requirements, integration needs, and transformation objectives.
Analyze business needs and translate them into technical solutions for data integration and transformation.
Performance OptimizationEnhance configurations and data workflows for improved performance and efficiency.
Refine Coalesce models and transformations to boost performance and data processing efficiency.
Data Accuracy and ReliabilityImplement measures to ensure the accuracy, reliability, and integrity of data processed.
Data Modeling and TransformationDesign and implement data models using DBT in the Snowflake environment to support data analysis and reporting.
Build and optimize data integration pipelines into Snowflake using Coalesce, ensuring seamless data flow and transformation.
Documentation and MaintenanceDevelop and maintain clear, detailed documentation for Coalesce models and integration processes.
Skills Required:
- Design and implement data integration processes.
- Design and implement data models using DBT in the Snowflake environment.
- Build and optimize data integration pipelines into Snowflake using Coalesce.
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