Azure Databricks Data Engineer (Senior/Changi Business Park)

Responsibilities

• Azure Databricks Platform Implementation
• a) Develop and maintain data solutions using Azure Databricks (notebooks, Delta Lake)
• b) Configure and optimize Databricks jobs, clusters, and workloads
• c) Integrate with Azure Data Lake (ADLS Gen2)
• Databricks Genie Implementation Support
• a) Support implementation of Databricks Genie based on predefined architecture
• b) Prepare curated datasets for Genie consumption
• c) Optimize data structures for query performance
• Data Pipeline Development
• a) Build ETL/ELT pipelines using Databricks and Azure tools
• b) Develop ingestion pipelines from APIs, databases, and external systems
• c) Ensure pipelines are reliable, monitored, and production-ready
• Data Management & Governance
• a) Apply data quality checks and controls
• b) Implement access control and data organization practices
• c) Document pipelines and datasets
• Production Readiness & Optimization
• a) Ensure scalability and performance
• b) Optimize queries and pipeline efficiency
• c) Improve Genie performance to deliver faster, more efficient results
• Job requirements:
• Hands-on skills of Azure Databricks (Delta Lake, notebooks), Azure Data Lake (ADLS Gen2), Azure Data Factory or Synapse
• Good SQL and ETL experience and medallion architecture familiarity
• Exposure to Databricks Genie, familiarity with Python/PySpark, Unity Catalog or data governance tools are advantageous
• Good execution focus with the ability to deliver high-quality work independently
• High attention to details, particularly in data quality and accuracy
• Good problem-solving skills, with the ability to troubleshoot data and pipeline issues
• Receptive to feedback and able to iterate quickly based on technical guidance
• Able to collaborate effectively within a technical team environment

Additional Information

We are seeking a hands-on Azure Databricks Data Engineer to support the implementation of a modern data platform on Microsoft Azure to enable self-serve data analytics for various business users. This role is technical execution-focused, responsible for building data pipelines, implementing structured data layers, and supporting the deployment of Databricks Genie capabilities based on predefined architecture and design. Job Description

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Company Intel

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