Coffeebeans.io - Data Engineer - Snowflake in Bangalore, भारत

About Us : CoffeeBeans Consulting is a premier tech consulting firm dedicated to empowering organizations to become AI-ready by optimizing their data across diverse https://jobeax.com/link/Oy6oDmOmVlJP8Aqz expertise spans data architecture, pipelines, governance, MLOps, and cutting-edge Generative AI https://jobeax.com/link/SFHOY7EhVu5tBl6Q Overview : Join CoffeeBeans Consulting as a Data Engineer L2 and transform the future of data engineering in the Generative AI https://jobeax.com/link/oA5wVhd0SKXUAaqZ this pivotal role, you will design, develop, and maintain robust data pipelines using Python, SQL, Snowflake, and AWS, enabling our clients to harness the power of AI-driven https://jobeax.com/link/GIUTG9mhjlXphJg6 with cross-functional teams to deliver high-quality data solutions that support healthcare data ingestion and analytical https://jobeax.com/link/LSvs6xwkM3xisfnO AI-native development practices to enhance productivity and optimize data processing performance, making a significant impact in a rapidly evolving https://jobeax.com/link/NrooYkMx2lPw6BlG Responsibilities : - Design, develop, and maintain scalable data pipelines using Python, SQL, Snowflake, and AWS.- Build and support healthcare data ingestion, transformation, and analytical solutions.- Collaborate with product, business, and QA teams to deliver high-quality data solutions.- Optimize data processing performance, reliability, and data quality across production environments.- Leverage AI-native development practices, including AI agents/tools for code generation, code reviews, and test case https://jobeax.com/link/jkmI0GFULay3UrxX Qualifications : - Experience building and maintaining scalable data pipelines and data integration https://jobeax.com/link/pfQQFRBHCixE1Ce6 Stack : - Python, SQL, Snowflake, AWS (S3, SNS, Glue), PySpark, Big Data technologies, Shell/Unix, Airflow, REST APIs, GitHub Actions, Jenkins, https://jobeax.com/link/V2YBcMBQJ4lJGVyS Skills : - Experience with Snowpark for data processing. (ref:hirist.tech)