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