Job Description
Enhance customer data workflows as a Mid Data Engineer in a hybrid position. Leverage your technical skills in pipeline building while contributing to a collaborative DevOps culture.
This role focuses on managing customer data pipelines with a hands-on approach to engineering and operations. You will be responsible for deploying and modernizing data pipelines, ensuring compliance with security standards, and mentoring team members. Join a company culture that values diversity and innovation in technology.
Key Responsibilities:
• Build and manage data pipelines using Azure and Snowflake
• Implement Delta Live Tables for improved data management
• Create secure enterprise data views in Snowflake
• Use CI/CD frameworks for deployment and updates
• Collaborate with multi-functional teams in Agile settings
Requirements:
• 5+ years of database engineering with a focus on customer data
• Experience with Azure Data Factory and Databricks
• Strong Python experti...
This role focuses on managing customer data pipelines with a hands-on approach to engineering and operations. You will be responsible for deploying and modernizing data pipelines, ensuring compliance with security standards, and mentoring team members. Join a company culture that values diversity and innovation in technology.
Key Responsibilities:
• Build and manage data pipelines using Azure and Snowflake
• Implement Delta Live Tables for improved data management
• Create secure enterprise data views in Snowflake
• Use CI/CD frameworks for deployment and updates
• Collaborate with multi-functional teams in Agile settings
Requirements:
• 5+ years of database engineering with a focus on customer data
• Experience with Azure Data Factory and Databricks
• Strong Python experti...