Data Automation Engineer

Summary

Join Kraken as a Data Automation Engineer and contribute to the future of crypto! Work remotely as part of a dynamic team, developing, optimizing, and maintaining robust data pipelines for critical business operations. You will transform our architecture, ensuring efficiency, security, and compliance. This role involves collaborating with Finance and other stakeholders, optimizing data integration processes, and identifying opportunities for improvement. The ideal candidate possesses strong cloud DevOps, data workflow engineering, and communication skills. Opportunities for growth and learning in cutting-edge technologies are available.

Requirements

• Proficiency in Cloud DevOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and containerization
• Strong knowledge of Cloud Security, including Identity and Access Management (IAM), confidentiality, integrity, and availability (CIA) best practices, as well as telemetry and logging
• Expertise in data workflow engineering, including ETL/ELT processes, orchestration, scheduling, error handling and scalability
• Adherence to software engineering best practices, such as code testing and review, change and incident management (CHG/INC), reusability, thorough documentation, and experience with APIs and command-line interfaces (CLI)
• Proficiency in at least one programming language, such as Python, Go, or TypeScript (compiled languages not required)
• Strong understanding of integration patterns such as APIs, webhooks, and event-driven architectures
• Strong communication skills for effective collaboration with stakeholders
• Initiative to identify opportunities and proactively address challenges
• Critical thinking abilities to analyze complex problems and develop actionable solutions

Responsibilities

• Support Finance stakeholders with setting and maintaining the data pipelines used to process payments and provide reporting
• Participate in the team architecture overhaul to enhance efficiency, security and compliance of the underlying infrastructure
• Lead efforts to optimize and automate data integration processes, minimizing manual intervention and maximizing efficiency
• Optimize data pipeline to ensure data processing without errors, ensuring integrity, supporting velocity and continuously improving
• Identify opportunities to best provide values to the team's stakeholders by maintaining good communication, and acquiring business knowledge of the financial data processed for our core use cases
• Participate in additional data automation opportunities, within a wide range of topics, including but not limited to: IT Asset Management, GRC to HR, Legal and ERP systems
• Support documentation of code, infrastructure and use cases

Preferred Qualifications

• Familiarity with financial data, including bank statements, transaction reports, and accounting terminology
• Understanding of cryptocurrency technologies and principles. data: bank statements, transaction reports, accounting core terminology

Benefits

Fully remote work