jobs.pl/Stellenangebote/IT: Softwareentwicklung/Principal Engineer, Data Analytics Engineering [ 8+ years ] (Java/Python | Kafka | Kubernetes)
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Principal Engineer, Data Analytics Engineering [ 8+ years ] (Java/Python | Kafka | Kubernetes)

Western Digital Bengaluru, Indien
Full-time On-site work

Publication date: 12/11/2026

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

Responsibilities

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

Requirements

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

Nice to have

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
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