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Data Engineer

HongKong, HK13 дн. назад

Коротко

Designs, develops, and maintains software solutions, implements testing strategies, and utilizes Infrastructure as Code for a digital asset trading platform. · Needs: 4+ years experience; experience with Python or scripting languages; experience with IaC tools like Terraform, CloudFormation, or Ansible; proficient in SQL

Описание от работодателя

Our client, a licensed digital asset trading platform with over US$1.3T in trading volume since 2021, is looking for a Senior Full-stack Engineer who writes clean, testable code and builds scalable systems. Role & Responsibilities: Design, develop, and maintain high-quality software solutions with a focus on clean, maintainable code. Implement comprehensive testing strategies to ensure software quality and reliability. Ensure adherence to software development best practices, including version control, code reviews, and continuous integration. Develop automated tests to identify and resolve bugs efficiently. Utilize Infrastructure as Code (IaC) to automate and manage infrastructure, ensuring consistency and scalability. Collaborate with business stakeholders to gather requirements and translate them into actionable software solutions. Identify and resolve bottlenecks through profiling and performance optimization. Mentor junior team members, providing guidance and support for their professional development. Work as part of a global team based in Hong Kong and the UK. Experience & Qualifications: At least 4+ years of relevant experience. Strong sense of ownership and ability to thrive in a dynamic startup environment. In-depth knowledge of testing methodologies and coding standards. Familiarity with standard SDLC practices and tools for build, test, and deployment. Experience with Python or other scripting languages. Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible. Proficient in SQL. Degree in Computer Science or a related field. Bonus: Experience with cloud technologies and big data tools is a plus but not required. Familiarity with microservices architecture and containerization technologies like Docker and Kubernetes. Understanding of middleware such as Kafka and RabbitMQ.