Azure Data Engineer

About the job

One of our clients is seeking an Azure Data Engineer to develop data pipelines, warehouse models and integrated access to enterprise information.

Responsibilities

• Design, develop and maintain robust pipelines and data architectures for advanced analytics and business intelligence.
• Build and optimize ETL and ELT processing with Python and SQL.
• Develop Snowflake data models and warehouse solutions.
• Use Denodo data virtualization to provide unified, flexible access to information.

Required Qualifications

• Eight to fifteen years of relevant experience, with at least eight years required for this senior role.
• Strong hands-on SQL and Python skills.
• Experience developing workloads in Databricks.
• Practical experience with Azure Data Factory.
• Ability to work across Azure Data Factory, Databricks, Python, SQL, Snowflake and Denodo in an integrated data environment.
• Microsoft certification DP-203.
• Microsoft certification DP-700.
• Microsoft certification AI-900.

Preferred Qualifications

• Snowflake experience.
• Power BI experience.
• Denodo experience.