Data Engineer

SJ Campus, Singapore

Surbana Jurong Group

Surbana Jurong builds, designs, improves infrastructure for sustainable industrial development and urban living. Our global team of architects, planners, engineers and other specialists, provides best-in-class consultancy across the full urban,...

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Roles & Responsibilities

  • Data Infrastructure Development: Design and build scalable, efficient, and secure data infrastructure to support advanced analytics and reporting systems.
  • ETL Pipeline Development: Develop and maintain robust ETL (Extract, Transform, Load) pipelines to process data from various sources, ensuring high-quality, consistent, and accurate data.
  • Data Integration: Integrate multiple internal and external data sources, ensuring seamless data flow across platforms.
  • Data Modeling: Create and maintain data models and schemas that ensure the efficient storage and retrieval of data.
  • Optimization and Performance Tuning: Enhance the performance and scalability of data pipelines, optimizing for speed and reliability.
  • Collaboration: Work closely with data scientists, business analysts, and other teams to ensure that data is organized and accessible for analysis, reporting, and machine learning applications.
  • Data Governance: Implement data quality control processes to maintain data integrity and consistency.
  • Automation: Automate data workflows and systems to ensure efficiency and reduce manual work.
  • Troubleshooting and Maintenance: Monitor the health of data systems, diagnose issues, and maintain optimal data system performance.

Requirements

  • Experience with at least one Cloud Infra provider (Azure/AWS). Preferably AWS.
  • Hands-on in SQL, NoSQL or Document DB. Should be an expert in SQL queries and scripting.
  • Hands-on experience in developing, working and testing on ETL systems is mandatory.
  • Hands-on in managing data mapping, data quality and integrity, performance in data processing.
  • Develop and implement techniques and analytics applications to transform raw data into meaningful information.
  • Visualise, interpret, and report data findings and may create dynamic data reports as well.
  • Bachelor’s Degree in Computer Science or equivalent. 
  • At least 2 years of experience in in data engineering, database management, or a similar field.
  • Experience and knowledge with Brick Schema and FIWare Data Models such as NGSI v2.

At Surbana Jurong, we put talent, hard work, teamwork and a fun workplace together to approach problems and solve them creatively and collaboratively. Join us in making a positive impact on the world!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: AWS Azure Computer Science Data governance Data pipelines Data quality Engineering ETL Machine Learning NoSQL Pipelines SQL Testing

Region: Asia/Pacific
Country: Singapore

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