Data Engineer

Role Overview: You will be responsible for developing and maintaining scalable data pipelines using Snowflake and Python. Your role will involve writing efficient Python scripts for data extraction, transformation, and loading. You will also ensure data quality, consistency, and reliability across all systems. Optimizing ETL processes, resolving performance issues, and collaborating with cross-functional teams will be key aspects of your responsibilities. Additionally, maintaining comprehensive documentation for data processes and pipelines will be crucial. Key Responsibilities: - Develop and maintain scalable data pipelines using Snowflake and Python. - Write efficient Python scripts for data extraction, transformation, and loading. - Ensure data quality, consistency, and reliability across all systems. - Optimize ETL processes and resolve performance issues. - Collaborate with cross-functional teams including data analysts and business stakeholders. - Maintain comprehensive documentation for data processes and pipelines. Qualifications Required: - Strong professional experience with Snowflake and data warehousing. - Advanced Python scripting skills for ETL development. - Solid understanding of data modeling and ETL best practices. - Experience working with structured and unstructured datasets. - Excellent problem-solving and debugging skills. (Note: No additional company details were mentioned in the provided job description),