The Data Engineer designs and maintains data pipelines and systems, transforming raw data into insights by collaborating with project teams and utilizing various data processing tools.
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.
You also represent to us that you have obtained the consent of your referees when you disclose to us their personal data for the purpose of conducting reference checks.
The personal data held by us relating to your application will be kept strictly confidential and in accordance with the PDPA. You may also refer to our Privacy Policy for more details here:
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.
Xtremax Singapore, Singapore, SGP Office
Singapore, Singapore
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