Principal Engineer, Data Analytics Engineering [ 8+ years ] (Java/Python | Kafka | Kubernetes)

Company Description

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Job Description

• Architect end-to-end solutions, lead teams by example and work with cross functional stakeholders to productise the solutions.

• Design, build and support platform for customer analytical needs using Java and/or Python as programming language

• Design, build and support batch processing and streaming data pipelines

• Design, develop, and support AI-enabled assistants, chatbots, and automation solutions

• Develop Python-based automation services, REST APIs, and backend integrations to connect AI/automation solutions with enterprise systems, including MCP-based tool integrations.

• Deploy and support applications on Kubernetes/Edge platforms, using GitOps and CI/CD pipelines

• Work with cross functional stakeholders to understand their requirements