Description

You will lead cloud data engineering initiatives and own the architecture of enterprise-scale data platforms.

This role is on-site.

Responsibilities

• Develop and deploy enterprise-level data warehouse workloads on Microsoft Azure.
• Design and implement scalable data transformation pipelines using Spark distributed computing.
• Implement platform and application monitoring using cloud-native tools.
• Develop application self-healing solutions through automated measures.
• Lead cloud data engineering initiatives and ensure robust deployment practices.

Required Skills

• 5-7 years of experience in data engineering and cloud transformation.
• 3+ years of 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 patterns.
• Experience implementing cloud-native platform monitoring.
• Experience implementing automated self-healing solutions.

Preferred Skills

• Any Graduate degree in Computer Science or related field.
• Experience with large-scale distributed systems.

Key Skills

Education

Any Graduate