Description

Key Responsibilities Design, develop, and maintain ELT data pipelines using Snowflake. Develop scalable and efficient SQL transformations within Snowflake. Build and maintain data models using dbt (data build tool). Create dbt models, tests, macros, snapshots, and incremental pipelines. Implement data quality, validation, and reconciliation processes. Optimize Snowflake queries, warehouse usage, and data processing performance. Develop reusable and modular data transformation frameworks. Integrate data from multiple source systems into Snowflake. Implement CI/CD pipelines for data engineering and dbt deployments. Use GitLab for source control, branching, merge requests, and code reviews. Automate build, test, and deployment processes using DevOps practices. Troubleshoot pipeline failures, data issues, and production incidents. Work with data engineers, analysts, architects, and business stakeholders to understand requirements. Maintain technical documentation and follow development standards. Required Skills Strong experience with Snowflake Advanced SQL Hands-on experience developing ELT pipelines Strong dbt development experience dbt models, tests, macros, snapshots, and incremental models Data modeling and transformation Snowflake performance tuning and optimization Git / GitLab CI/CD and DevOps practices Pipeline monitoring and troubleshooting Experience working in Agile development environments

Key Skills

Education

Bachelor's degree