Overview

Being a Data Engineer with Xtremax means more than just moving data around—you'll help design, build, and maintain the pipelines and systems that power our products and analytics. You'll work closely with architects, analysts, and developers to transform raw data into meaningful insights and scalable solutions. Candidates with public sector experience are preferred, as this role supports IT projects for government agencies.

Responsibility :

Data Design & Development

Design, develop, and deploy data tables, views, and marts across data warehouses, operational data stores, data lakes, and data virtualization platforms
Perform data extraction, cleaning, transformation, and flow, including web scraping when required
Build and maintain large-scale batch and real-time data pipelines using data processing frameworks
Integrate and collate data silos in a scalable and compliant manner

Collaboration & Delivery

Work closely with Project Managers, Data Architects, Business Analysts, Frontend Developers, Designers, and Data Analysts to deliver data-driven products
Develop backend APIs and work on databases to support applications
Participate in pair programming and code reviews to ensure code quality and reliability
Work in an Agile environment practicing Continuous Integration and Delivery

Requirements

Must-Have

Strong proficiency in data cleaning and transformation (e.g., SQL, pandas, R)
Must have 3 years or more of relevant experience
Hands-on experience with ETL pipeline tools/frameworks (e.g., SSIS, AWS DMS, AWS Lambda, Glue, ECS, EventBridge, Python, Spring)
Proficient in database design and experience with multiple databases (e.g., SQL, PostgreSQL, MySQL, MongoDB, Cassandra, SQLite, VoltDB, AWS S3, Athena, Postgres/GIS)
Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka, RabbitMQ)
Solid understanding of system design, data structures, and algorithms
Comfortable with at least one scripting language (e.g., Python, SQL)
Experience working in both Windows and Linux environments

Nice to Have

Cloud experience with AWS, Azure, or Google Cloud
Familiarity with data modeling, data marts, data lakes, virtualization, and warehouses
Experience with REST APIs and web protocols
Exposure to web scraping frameworks/tools (e.g., BeautifulSoup, Selenium, PhantomJS, Node.js)
Knowledge of data governance policies, access control, and security best practices
Interest in bridging engineering and analytics
Experience working on Singapore Government projects will be advantageous

Certificate Preferred

AWS Certified Data Analytics - Specialty
Google Cloud Professional Data Engineer
Microsoft Azure Data Engineer Associate

Benefits

By submitting your resume/CV, you consent and agree to allow the information provided to be used and processed by or on behalf of Xtremax Pte Ltd for purposes related to your registration of interest in current or future employment with us and for the processing of your application for employment.

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We regret to inform you that should you not consent to providing the necessary data required for us to process your application, your application will be considered void.

Data Engineer - (Public Sector)