Description

You will lead data engineering efforts within the Azure ecosystem.

Responsibilities

• Design and implement scalable data pipelines using Azure Data Factory and Databricks.
• Develop and maintain complex SQL queries and Python scripts for data processing.
• Manage data transformations and modeling using DBT Cloud.
• Orchestrate data workflows and scheduling via Apache Airflow.
• Optimize data warehouse performance within Snowflake.

Required Skills

• 10+ years of experience in data engineering roles.
• Expertise in SQL and Python.
• Hands-on experience with Snowflake.
• Proficiency with Databricks and Azure Data Factory (ADF).
• Experience with DBT Cloud.
• Experience with Apache Airflow.
• Degree in any graduate field.

Key Skills

Education

Any Graduate