SalaryPeak

Data Engineer

UC TECH PTE. LTD.
Singapore 3+ years Posted Feb 10, 2026

Salary Range

SGD 96,000 - SGD 180,000 /year

SGD 8,000 - SGD 15,000/month

Skills Required

Apache SparkAzureBig DataData ModelingQuality AssurancePipelinesHadoopETLInformation TechnologyData QualityData EngineeringSQLPythonJavaData WarehousingDatabases

Job Description

*ONLY NATIVE SINGAPOREANS WILL BE CONSIDERED*

Job Description
Responsible for designing, building, and maintaining the infrastructure for data collection, storage, and processing, ensuring data is accessible and reliable for analysis.

Key Responsibilities

  • Design and Build Data Pipelines: Develop and maintain scalable data pipelines that efficiently collect, transform, and store data from various sources.
  • Data Management: Manage and optimize databases and data warehouses to ensure high performance and reliability.
  • Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their data needs and provide tailored solutions.
  • Data Quality Assurance: Implement processes to ensure data quality and integrity, including validation and cleaning procedures.
  • Research and Development: Explore new data acquisition opportunities and technologies to enhance data processing capabilities.
  • Documentation: Maintain clear documentation of data processes, architectures, and workflows to facilitate knowledge sharing and compliance.


Required Skills and Qualifications

  • Minimum bachelor's degree in Computer Science, Information Technology or related field.
  • Technical Proficiency: Strong experience with SQL, Python, and data processing frameworks (e.g., Apache Spark, Hadoop, Cloudera).
  • Data Architecture Knowledge: Understanding of data modeling, ETL (Extract, Transform, Load) processes, and data warehousing concepts.
  • Problem-Solving Skills: Ability to troubleshoot data issues and optimize data workflows for efficiency.
  • Collaboration and Communication: Excellent interpersonal skills to work effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
  • Experience with Cloud Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data storage solutions.