Data Engineer - Financial Services/ AI Projects - up to 50K

• Building and enhancing data platform solutions including data virtualization, data visualization and data lake
• Conduct data platform proof-of-concept and acceptance testing
• Develop services and integrate them with internal and external APIs / MCPs
• Identify and evaluate new technologies that improve performance, maintainability and scalability of our infrastructure.
• Work closely with Architects, Platform Engineers and Product Owners to deliver software in a continuous delivery environment.
• Work closely with AI Engineer, Data Engineer and business stakeholders to assist in the development and deployment of AI application and data pipeline.

Qualifications:

• University degree in computer science, software engineering, or related fields
• At least 3 years of experience in data platform development
• Experience in delivery of large scale data infrastructure (in scale of hundreds ofTB) is highly desired
• Experience in system design and Infrastructure as Code (IaC) is a must
• Experience in designing, implementing and managing DevOps pipelines in a large scale enterprise environment is preferred
• Experience in public cloud platforms (AWS, Azure, AliCloud) and having any relevant certification is a plus
• Experience of implementing data security capabilities such as encryption, anonymization is a plus
• Experience in the following technology stack:
• Programming skills, in any one of these programming language (Java, Nodejs, Python)
• Scripting: Bash script or PowerShell
• CICD Suite: Jenkins, JIRA, Sonar, Git, Ansible
• Test Framework: jMeter, jUnit, PyTest
• Experience in working in an international team, with solid grounding in financial service is a plus
• Excellent communication skills and data driven thinking capabilities