Full-Stack Data Engineer: Python/Flask & Oracle

RECRUIT EXPRESS PTE LTD; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

RECRUIT EXPRESS PTE LTD is seeking a capable software developer to design robust data models and integrated IT systems. You will architect back-end services with Flask/Python and build responsive front-ends with React or Angular for reporting and interaction.

The role emphasizes data integration with Oracle SQL, SAS data sources, and automated workflows, plus collaboration across teams to reduce technical debt and improve security and reliability.

Qualifications

• Minimum 3 years of solid experience in software development, data integration, and full-stack web app deployment.
• Expertise in Python and Flask; SAS experience is a plus.
• Hands-on with React or Angular for modern UIs.
• Advanced Oracle SQL and database performance tuning.

Responsibilities

• System Architecture: Design robust data models and integrated IT systems.
• Back-End Development: Build, optimize, and maintain scalable back-end services with Flask/Python.
• Front-End Implementation: Develop interactive UIs using React or Angular for reporting.
• Database Engineering: Write and optimize Oracle SQL queries for large datasets.
• Process Automation: Architect automated workflows for data collection and system monitoring.
• Integration & Maintenance: Manage data pipelines, migrate SAS sources to web environments.
• Technical Collaboration: Translate business requirements into technical specs with teams.
• System Optimization: Refactor code and workflows to reduce debt and improve security.

Skills

Python

Flask

React

Angular

Oracle SQL

SAS

Data Integration

Full-Stack Development

Tools

React

Angular

Job description

RECRUIT EXPRESS PTE LTD is seeking a capable software developer to design robust data models and integrated IT systems. You will architect back-end services with Flask/Python and build responsive front-ends with React or Angular for reporting and interaction.

The role emphasizes data integration with Oracle SQL, SAS data sources, and automated workflows, plus collaboration across teams to reduce technical debt and improve security and reliability.