Lead Analytics Application Engineer

CORE RESPONSIBILITIES:

• Design, develop, and maintain cloud-based analytics applications, leveraging a full-stack technology stack to deliver high-quality, scalable, and secure solutions.
• Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define and implement analytics features and functionality that meet business requirements and user needs.
• Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability.
• Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation.
• Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies.
• Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience.
• Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code.
• Stay current with emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform.
• Collaborate with DevOps and infrastructure teams to automate deployment and release processes, implement CI/CD pipelines, and optimize the development workflow for the analytics engineering team.
• Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across a variety of sectors.
• Influence, educate and directly support the analytics application engineering capabilities of our clients
• Travel is required (30%)

REQUIREMENTS:

• Master’s degree in Computer Science, Engineering, or a related technical field. 
• 3+ years at Senior or Staff level, or equivalent
• Experience with client-side technologies such as React, Angular, Vue.js, HTML and CSS
• Experience with server-side technologies such as Node.js, Django, Flask, .NET Core or Java Spring Boot
• Experience with Cloud platforms and services (AWS, Azure, GCP, etc)
• 2+ years of Python
• Experience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or Kubernetes
• Strong interpersonal and communication skills, including the ability to explain and discuss complex mathematical and machine learning technicalities with colleagues and clients from other disciplines at their level of cognition 
• Curiosity, proactivity and critical thinking 
• Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.
• Strong knowledge in designing API interfaces
• Knowledge of data architecture, database schema design and database scalability
• Agile development methodologies