About the role
Design, develop, and maintain scalable data pipelines and warehouse solutions using Snowflake. Optimize data transformation processes and ensure data quality through rigorous validation and reconciliation.
What they look for
Requirements
Requires 5+ years of experience in data engineering with strong hands-on expertise in Snowflake and advanced SQL. Candidates must have a solid understanding of data warehousing concepts, cloud platforms, and CI/CD practices.
Full description
- Design, develop, and maintain scalable data pipelines and data warehouse solutions using Snowflake.
- Develop complex and optimized SQL queries for data transformation, extraction, and analysis.
- Build and maintain ETL/ELT pipelines for integrating data from multiple source systems.
- Design Snowflake databases, schemas, tables, views, stages, streams, and tasks.
- Develop efficient data transformation processes using Snowflake SQL and Stored Procedures.
- Implement incremental data loading and change-data-capture (CDC) strategies.
- Optimize Snowflake workloads for performance, scalability, and cost efficiency.
- Monitor data pipelines and troubleshoot data processing failures and performance issues.
- Perform data validation, reconciliation, and quality checks across source and target systems.
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