Snowflake + Python + SQL Developer

Snowflake Python SQL Developer Job Description: We are seeking a skilled Snowflake Python SQL Developer with 4-6 years of experience to join our dynamic team. The ideal candidate should possess a strong background in cloud data platforms, Python programming, and SQL database management.

Experience with DBT (Data Build Tool) is a plus but not mandatory.

Key Responsibilities: Data Engineering & Management : Design, implement, and manage data pipelines using Snowflake . Develop and optimize complex SQL queries for data extraction, transformation, and reporting. Handle large-scale data processing and integration using Python . Data Modeling & Optimization : Develop and maintain Snowflake data models and warehouse architecture. Optimize data pipelines for performance and scalability.

Collaboration : Work closely with cross-functional teams including data analysts, data scientists, and stakeholders to understand data needs and provide efficient solutions.

ETL Development : Develop and maintain ETL/ELT processes to support data analytics and reporting. Use Python scripts and Snowflake tools for data transformation and integration.

Performance

Monitoring & Troubleshooting : Monitor the performance of Snowflake databases, troubleshoot issues, and ensure data integrity. Implement monitoring tools and processes to ensure the reliability of data systems. DBT (Optional but Good to Have) : Leverage DBT for transforming data within Snowflake, if applicable. Develop and maintain DBT models for improving the quality of data transformations.

Key Skills and Qualifications: Must-Have: 4-6 years of hands-on experience with Snowflake , Python , and SQL . Strong understanding of SQL databases , relational database management systems (RDBMS), and data modeling concepts.

Experience in building scalable data pipelines and ETL/ELT processes using Python and Snowflake. Knowledge of data warehousing best practices, including performance optimization and data governance.

Good to Have: Experience with DBT (Data Build Tool) or similar data transformation frameworks. Familiarity with cloud platforms such as AWS , Azure , or GCP . Understanding of version control systems such as Git .

Experience Level Senior Level