Snowflake + Python + SQL Developer

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.

1. 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 .