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

Responsibilities: - 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 - Data Engineering: Airflow, Spark - Data Lake Framework: Apache Hudi / Iceberg / Delta Lake - Infrastructure: Docker, Terraform, Kubernetes - Experience in working in an international team, with solid grounding in financial service is a plus - Excellent communication skills and data driven thinking capabilities - Please note that only short listed candidates will be notified. All information gathered will be treated in strict confidence and solely used for recruitment purposes.

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