Roles & Responsibilities
Responsibilities
• Lead the design, development, and day-to-day operation of the enterprise cloud data platform onAzure.
• Build and maintain scalable data pipelines using Azure Databricks and PySpark.
• Design and manage data ingestion and orchestration workflows using Azure Data Factory.
• Implement and manage data governance, access control, and metadata using Unity Catalog.
• Develop and maintain Lakehouse data models (Bronze, Silver, Gold layers).
• Optimize platform performance, reliability, and cloud costs across Databricks workloads.
• Troubleshoot data pipeline issues and drive continuous platform improvements.
• Provide technical guidance and best practices to data engineers and stakeholders.
Requirements:
• Degree in IT, Computer Science or related technical field.
• Strong hands-on experience with Azure Databricks and PySpark in production environments.
• Experience building and orchestrating data pipelines using Azure Data Factory.
• Solid understanding of data governance, security, and access management, including Unity Catalog.
• Proven experience designing and supporting scalable cloud data platforms on Microsoft Azure.
Please submit your updated resume in Word format by using the Apply Now Button.
We regret that only shortlisted candidates will be notified.
Email resume to
People Profilers Pte Ltd, 20 Cecil Street PLUS Building, Singapore 049705.
Tel:
EA License Number: 02C4944
Registration Number: R
Posting Personnel: Ng Jwee Ken
Ref: 3WWYY79W
Tell employers what skills you have
Data Ingestion
Microsoft Azure
PySpark
Business Intelligence and Data Analytics
Business Intelligence
Azure
Pipelines
Data Pipeline
Azure DevOps
Architect
Azure Data Factory
ETL
Business Intelligence architecture
Databricks
Data Governance
Unity
Data Engineering
Python
Orchestration
Data Warehousing
