Manager (Data Engineer)

Singapore Institute of Technology

  • Singapore
  • Contract
  • Full-time
  • 1 month ago
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  • Build a unified data infrastructure that integrates historical data from the existing system with data from the new system
  • Design and maintain robust ETL pipelines to support seamless data migration and ongoing data flows
  • Ensure consistency, accuracy, and reliability across integrated datasets
  • Organize and structure data in a format that supports downstream analysis and reporting needs
Data Engineering & Pipeline Development
  • Design, develop, and maintain scalable data workflows and processing systems
  • Develop and maintain data quality monitoring and validation processes
Collaboration & Stakeholder Engagement
  • Collaborate with stakeholders to understand data needs and translate them into models, datasets, or dashboards
  • Work closely with the relevant teams in SITLEARN to support analytical projects and reporting requirements
  • Communicate technical concepts effectively to non-technical stakeholders
Documentation & Best Practices
  • Document data processes, pipeline logic, and system changes for knowledge sharing and maintainability
  • Follow industry best practices in data engineering and advocate for continuous improvement in data handling practices
Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
  • 3-5 years of experience in a data engineering or similar role
  • Strong knowledge of SQL and experience working with relational databases
  • Proficient in data pipeline tools (e.g., Airflow, dbt, Talend, or similar) and scripting languages (e.g., Python)
  • Familiarity with cloud platforms and data services (e.g., AWS, Azure, GCP)
  • Experience with BI tools like Power BI or Tableau is a plus
Preferred Skills
  • Experience or familiarity with Salesforce data structures and API integration
  • Strong analytical and problem-solving skills
  • Comfortable being an individual contributor and managing deliverables independently
  • Collaborative, with the ability to communicate effectively across technical and non-technical teams
  • Detail-oriented with a commitment to data accuracy and quality
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Singapore Institute of Technology