A Global Investment company requires Digital Transformation (DX) Technical Architect with 5 years of professional experience in backend software development & data engineering, middleware, database management or cloud development.

Reporting to: General Manager

Profile Summary:

• Under the guidance of GM and support from colleagues, the candidate will be part of the Digital Transformation (DX) Department to support business units (BUs) in the MEA region.
• The candidate will drive business innovation with digital to enhance existing business including subsidiaries as well as develop new business with enterprises and startups.

Key Responsibilities:

As required by the hiring department including, but not limited to, the following:

• Accelerate digitalization by working closely with key stakeholders to develop digital strategy and implementation roadmaps as a team member.
• Conduct technical evaluation of solutions, platforms, and new technologies.
• Demonstrate basic understanding of the latest digital technologies including Artificial Intelligence, blockchain, IoT, data science and analytics, cloud computing, Integration, DB technologies (relational, timeseries) etc.

Backend Development

• Creating efficient and scalable backend architecture, APIs, and microservices using modern technologies and best practices.
• Design and optimize database schemas, queries, and data models.
• Develop RESTful APIs and integrate them with frontend applications.
• Automate testing and deployment processes using CI/CD pipelines. Knowledge of tools like Jenkins, Travis CI, or GitHub Actions.
• Deploy and manage applications in cloud environments (e.g., AWS, Google Cloud, Azure) and ensure scalability and reliability. This includes understanding containerization with Docker and orchestration with Kubernetes.

Data Engineering

• Developing and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
• Automating and improving data processes and workflows for scalability and efficiency.
• Build efficient data models.

Technical – Must Have

• Proficiency in one or more backend languages such as Python, Java, Go, or Node.js.
• Familiarity with backend frameworks like Django, Flask, Spring Boot, or Express.js.
• Knowledge of SQL and NoSQL databases, data modeling, and query optimization.
• Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with continuous integration and deployment pipelines.
• Knowledge of DevOps principles and practices
• Experience with or knowledge of Agile Software Development methodologies

Education:

• Bachelor’s or master’s degree in computer science, IT, Software Engineering, or related fields