Data Engineer

Position Overview

• Location Type: Not Specified
• Employment Type: Not Specified
• Salary: Not Specified

Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. This role involves building a modern enterprise data platform that powers over $60 billion in annual transaction volume for one of the largest credit card issuers in the world. You'll be part of a team focused on marrying data with emerging technologies.

Requirements

• Education: Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related field.
• Experience: Minimum of 5 years of software development experience, with a proven track record in designing, developing, and maintaining enterprise-grade applications.
• GraphQL APIs: Real-world experience in designing and implementing GraphQL APIs, including schema design, resolvers, and performance optimization.
• Programming Languages: Extensive knowledge of at least one server-side programming language (e.g., Java, Python, Go).
• Database Technologies: Solid understanding of database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB), including schema design, query optimization, and connection pooling.
• Microservices: Understanding of microservices architecture principles, patterns, and best practices.
• Cloud Services: Experience with cloud services (AWS preferred), including serverless architectures, container orchestration (e.g., Kubernetes), and cloud-native development practices.
• Security: Familiarity with security best practices, including OAuth, JWT, data encryption, and secure coding principles.
• CI/CD: Experience with CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.
• Agile Methodologies: Strong understanding of agile methodologies, including Scrum or Kanban.
• Teamwork: Ability to work effectively in a team environment, collaborating with other engineers, product managers, and stakeholders.
• Communication: Excellent verbal and written communication skills.

Preferred Qualifications

• Rust: Experience with Rust: experience in developing with Rust for performance-critical backend systems is highly desirable.
• Advanced Degree: Master’s or higher in Computer Science, Information Systems, or a related field.
• Data Engineering: Data Engineering experience including ETL processes, data warehousing, and big data technologies (e.g., Hadoop, Spark).
• RESTful APIs: Experience with RESTful API design and development alongside GraphQL.
• Machine Learning: Familiarity with machine learning algorithms and practices is a plus.

Application Instructions

Not Specified