Snowflake Devs
Job Responsibilities
- Build and maintain scalable data pipelines using dbt and Snowflake
- Design and manage models to transform raw data into analytics-ready datasets
- Optimize SQL queries and Snowflake performance (clustering, partitioning, tuning)
- Collaborate with analysts, scientists, and stakeholders to deliver data solutions
- Ensure data quality with automated testing, validation, and monitoring
- Document models, transformations, and pipeline processes clearly
- Manage deployments with Git, CI/CD, and dbt automation
- Monitor and troubleshoot pipeline issues proactively
- Automate workflows using Python and Bash scripting
Qualifications & Skills
- Strong expertise in SQL, dbt, and Snowflake
- Experience with cloud platforms (AWS, Azure, GCP) and orchestration tools (Airflow, Fivetran)
- Proficient in Python for automation and data engineering tasks
- Solid understanding of data warehousing and modeling (star schema, dimensional modeling)
- Excellent communication and problem-solving skills for cross-functional collaboration
- Proven experience in data engineering, ETL/ELT pipelines, and modern data architectures
Job Responsibilities
- Build and maintain scalable data pipelines using dbt and Snowflake
- Design and manage models to transform raw data into analytics-ready datasets
- Optimize SQL queries and Snowflake performance (clustering, partitioning, tuning)
- Collaborate with analysts, scientists, and stakeholders to deliver data solutions
- Ensure data quality with automated testing, validation, and monitoring
- Document models, transformations, and pipeline processes clearly
- Manage deployments with Git, CI/CD, and dbt automation
- Monitor and troubleshoot pipeline issues proactively
- Automate workflows using Python and Bash scripting
Qualifications & Skills
- Strong expertise in SQL, dbt, and Snowflake
- Experience with cloud platforms (AWS, Azure, GCP) and orchestration tools (Airflow, Fivetran)
- Proficient in Python for automation and data engineering tasks
- Solid understanding of data warehousing and modeling (star schema, dimensional modeling)
- Excellent communication and problem-solving skills for cross-functional collaboration
- Proven experience in data engineering, ETL/ELT pipelines, and modern data architectures