Data Engineer

Job Role

Data Engineer

Job Location

Singapore

Experience

4-8 Years

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes on Azure Cloud.
  
  
• Work with Azure Synapse Analytics, Azure Data Factory, and ADLS Gen2 to integrate, transform, and manage large datasets.
  
  
• Develop and optimize PySpark scripts for distributed data processing and analytics.
  
  
• Implement and manage Azure Logic Apps for workflow automation and data integration tasks.
  
  
• Collaborate with cross-functional teams to understand business requirements and deliver efficient data solutions.
  
  
• Monitor, troubleshoot, and optimize performance of data pipelines and storage systems.
  
  
• Ensure data quality, consistency, and security across all platforms.
  
  
• Document processes, data flows, and technical solutions for operational transparency.
  
  
• Support the implementation of best practices in data engineering, cloud architecture, and automation.
  
  

Skills & Requirements

• Hands‑on experience with Azure Synapse Analytics, Azure Logic Apps, Azure Data Lake Storage (ADLS Gen2).
  
  
• Strong experience in PySpark, Azure Data Factory, and SQL-based data transformations.
  
  
• Solid understanding of cloud data architectures, distributed processing, and ETL design patterns.
  
  
• Strong problem‑solving, analytical, and communication skills.
  
  
• Self‑motivated, proactive, and able to make independent decisions within a collaborative team environment.
  
  

Good to Have

• Experience with Databricks or other big data processing platforms.
  
  
• Knowledge of data governance, monitoring, and performance tuning in cloud data environments.