Data Engineer

To support the development and maintenance of enterprise data products within our organisation's data platform, we are looking for experienced data engineers to join our team who will be responsible for:

Data Engineering and Platform Integration

• Design, develop, and maintain data pipelines and ETL processes using AWS services (Glue, Athena, S3, RDS)
• Work with data virtualisation tools like Denodo and develop VQL queries
• Ingest and process data from various internal and external data sources
• Perform data extraction, cleaning, transformation, and loading operations
• Implement automated data collection processes including API integrations when necessary

Data Architecture

• Design and implement data models (conceptual, logical, and physical using tools like ER Studio
• Develop and maintain data warehouses, data lakes, and operational data stores
• Develop and maintain data blueprints
• Create data marts and analytical views to support business intelligence needs using Denodo, RDS
• Implement master data management practices and data governance standards

Technical Architecture and Integration

• Ensure seamless integration between various data systems and applications
• Implement data security and compliance requirements
• Design scalable solutions for data integration and consolidation

Qualifications and Experience:

• At least 3 years of experience in data engineering or similar role
• Strong proficiency in Python, VQL, SQL
• Experience with AWS services (Glue, Athena, S3, RDS, Sagemaker)
• Knowledge of data virtualisation concepts and tools (preferably Denodo)
• Experience with BI tools (preferably Tableau, Power BI)
• Understanding of data modelling and database design principles
• Familiarity with data governance and master data management concepts
• Experience with version control systems (Gitlab) and CI/CD pipelines
• Experience working in Agile environments with iterative development practices
• Strong problem-solving skills and attention to detail
• Excellent communication skills and ability to work in a team environment
• Knowledge of AI technologies (AWS Bedrock, Azure AI, LLMs) would be advantageous
• Due to sensitivity of system, only Singaporean or Singaporean PR should apply.