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Data Engineer

KS Talent Solutions, EA Licence No: 16S8081
Singapore, Singapore
S$60k - S$150k
Closing date
Jun 10, 2023

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Job Function
Industry Sector
Finance - General
Employment Type
Full Time
Main responsibilities:
  • Design and implement our Data and AI central data platform and related tools/systems for advanced business analytics and enterprise data governance.
  • Manage data modeling design, writing, and optimizing ETL jobs
  • Participate in building and enhancing enterprise cloud data warehouse
  • Deliver and manage in-house and cloud-native data solutions to meet business requirements across firm-wide business units
  • Assist in creating and monitoring analytics dashboards, for different business functions

  • Excellent coding skills with Python and SQL, and a solid understanding of object-oriented analysis and design
  • Working knowledge of common algorithms and data structures, with strong analytical and problem-solving skills
  • Hands-on experience with Linux and shell scripting
  • Working experience with containerization (Docker/K8S) and task orchestration tools (Airflow/Luigi, etc.)
  • Experience with cloud service and tools (AWS/Azure/GCP), as well as cloud data warehouse platforms.
  • Experience with modern DevOps practices including version control, TDD, CI/CD, etc., for both code and configuration changes.
  • Basic understanding and experience with ML/AI concepts (e.g. deep learning, deep reinforcement learning, deep bayesian learning), workflows, and toolsets (Jupyter Notebook, etc.), and libraries (Numpy, Pandas, Scikit Learn, PyTorch, etc.) preferably in both cloud-native and desktop deployments.
  • Experience with traditional RDBMS based systems, including Data Lake, Data Warehouses and Marts, and more modern NoSQL and cloud-native big-data technology stacks such as document-oriented databases, Hadoop, columnar data files (e.g., Parquet), etc.
  • Familiar with REST APIs, service-oriented architectures (SOA) / microservices, virtualization, and serverless deployment architectures.
  • Demonstrated ability to understand, work with and deliver robust solutions in more than one programming language, framework, technology stack, runtime environment, etc.

  • Degree level or higher in Computer Science or another quantitative field
  • 1-5 year(s) technical experience showing increasing sophistication of solutions implemented, and ability to deliver
  • Fluency in both written and spoken English

If you are keen please send your updated resume to

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