Join our Technology & Transformation practice and help clients harness the power of data. You'll guide strategic initiatives and implement solutions to manage complex data sources, turning them into actionable insights. Our team excels in business intelligence, data management, performance management, and cutting-edge analytics, including big data and machine learning.

As an API Engineer on the Data Foundations team, you will be instrumental in delivering impactful technology solutions aligned with business priorities. You will foster strong collaborations within your scrum team and with adjacent teams, working closely with operations and business stakeholders to deliver value-focused outcomes. A solid understanding of data domains and modern data lake and reporting best practices is essential. You'll influence technical decisions, embrace diverse perspectives, and drive productivity by automating routine tasks, accelerating continuous improvement, and optimizing infrastructure costs through efficient database design.

Play a pivotal role in delivering technology solutions that align with business priorities.

Cultivate robust relationships within the scrum team and with neighboring squads and release trains.

Collaborate closely with operations and business representatives to deliver mutually agreed-upon, value-driven solutions.

Demonstrate a strong grasp of the data domain, modern data lake principles, and reporting best practices.

Effectively influence decisions and solution choices while valuing diverse team contributions and ideas.

Enhance productivity by automating repetitive tasks, reducing delivery timelines for continuous improvement, and optimizing infrastructure expenses through efficient database architecture.

We are seeking an expert in building well-architected applications on AWS Cloud/Kubernetes. A proven track record in developing and designing cloud-native applications, particularly for AWS, is required.

Extensive experience with containerization using Docker and managing applications deployed in containerized environments is essential. You should be adept at running full Software Development Lifecycles (SDLC) on container-hosted applications and familiar with container management products.

Expertise in microservices-based architectures and in-depth knowledge of modern data warehouses and data lakes are crucial. Experience with AI-driven development tools like GitHub Copilot with Agents, and integrating AI into software solutions is highly valued.

Strong engineering skills, CI/CD implementation, and experience with build/deployment automation tools are necessary. Familiarity with web, application, and messaging queuing platforms, along with a solid understanding of design and architecture patterns, is expected.

We expect an expert approach to Test-Driven Development (TDD) and the ability to envision designs for complex problems, evolving implementations incrementally. Proficiency in pair programming and a willingness to coach junior developers are key attributes. You should be comfortable supporting existing codebases and eager to learn new technologies and problem-solving methodologies.