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

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. 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 Guide team members overcome technical challenges Required Qualifications Bachelor’s or Master’s Degree in Computer Science or Software Engineering with a minimum of 8+ years of experience. Proficient in computer science fundamentals, algorithms & data structures Proficient in programming languages like Java And/or Python Experience with Database Technologies (SQL/NoSQL) & Big Data Technologies (Hadoop, Hive) Familiarity with agentic AI concepts such as tool usage, multi-step orchestration, and Model Context Protocol (MCP) for integrating AI systems with enterprise tools and services. Preferred Qualifications Experience with Cloud Platforms like AWS, GCP and Azure Proficient in architect and designing batch processing and streaming data pipelines using Spark, Kafka Familiar with working in an agile software development framework with test driven development approaches Excellent communication, analytical and problem solving skills WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected] .