Description

You will build and manage data pipelines and transformation processes in a cloud environment.

This role is on-site.

Responsibilities

• Develop and deploy data workloads using PySpark on Spark distributed computing.
• Support and develop enterprise-level data warehouse workloads.
• Implement platform and application monitoring using cloud-native tools.
• Engineer and transform data within a cloud data platform.

Required Skills

• 5+ years of strong experience in Azure Data Engineering and Databricks.
• Experience developing and deploying workloads using PySpark.
• Expertise in supporting enterprise-level data warehouse solutions.
• Familiarity with Microsoft Azure cloud deployment.
• Experience implementing monitoring using Cloud Native tools.

Preferred Skills

• Any Graduate degree in Computer Science, Information Technology, or equivalent.

Key Skills

Education

Any Graduate