Snowflake + Python + SQL Developer

You are a skilled Snowflake + Python + SQL Developer with 4-6 years of experience, ready to join a dynamic team. Your expertise lies in cloud data platforms, Python programming, and SQL database management. While experience with DBT (Data Build Tool) is a plus, it's not mandatory for this role. In this role, your primary responsibilities include designing, implementing, and managing data pipelines using Snowflake. You will also be developing and optimizing complex SQL queries for data extraction, transformation, and reporting, as well as handling large-scale data processing and integration using Python. Data modeling and optimization are crucial aspects of your role. You will develop and maintain Snowflake data models and warehouse architecture, optimizing data pipelines for performance and scalability. Collaboration is key as you work closely with cross-functional teams to understand data needs and provide efficient solutions. ETL development is another essential part of your role. You will develop and maintain ETL/ELT processes to support data analytics and reporting, utilizing Python scripts and Snowflake tools for data transformation and integration. Monitoring performance, troubleshooting issues, and ensuring data integrity are also part of your responsibilities. While leveraging DBT for data transformation within Snowflake is optional, it is considered advantageous. You may also develop and maintain DBT models to enhance the quality of data transformations. Your key skills and qualifications include hands-on experience with Snowflake, Python, and SQL, a strong understanding of SQL databases and data modeling concepts, and experience in building scalable data pipelines and ETL/ELT processes using Python and Snowflake. Having knowledge of data warehousing best practices, familiarity with cloud platforms such as AWS, Azure, or GCP, and an understanding of version control systems like Git are also beneficial for this role.,