Description

You will lead cloud data engineering initiatives.

Responsibilities

• Develop and deploy enterprise-level data warehouse workloads.
• Design and implement data transformation pipelines using Spark distributed computing.
• Implement platform and application monitoring using cloud-native tools.
• Develop and implement application self-healing solutions via automated measures.

Required Skills

• 5-7 years of experience in data engineering and cloud transformation.
• 3+ years of very strong experience in Azure Data Engineering and Databricks.
• Expertise in PySpark for developing and deploying workloads.
• Experience supporting and developing enterprise-level data warehouse workloads.
• Familiarity with Microsoft Azure cloud deployment.
• Experience implementing cloud-native platform monitoring.
• Experience implementing automated self-healing solutions.

Preferred Skills

Key Skills

Education

Any Graduate