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

Western Digital Corporation; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Western Digital Corporation in Bengaluru (Bangalore Hallmark Office) seeks a Principal Engineer in Data Analytics Engineering with 8+ years of experience, focusing on Java/Python, Kafka, and Kubernetes. You will architect end-to-end analytics solutions and lead cross-functional teams.

Responsibilities include building batch and streaming data pipelines, developing AI-enabled assistants, and deploying on Kubernetes with GitOps and CI/CD.

Qualifications

• 8+ years of experience in data analytics engineering or related field.
• Strong programming in Java and/or Python.
• Experience with batch and streaming data pipelines.
• Familiar with AI-enabled assistants and automation integrations.

Responsibilities

• Architect end-to-end data analytics solutions and lead cross-functional teams.
• Design, build, and support data pipelines using Java/Python and streaming technologies.
• Develop AI-enabled assistants and automation integrations with enterprise systems.
• Deploy and operate applications on Kubernetes with GitOps and CI/CD.
• Collaborate with stakeholders to gather requirements and guide technical challenges.

Skills

Java

Python

Kafka

Kubernetes

SQL

NoSQL

Hadoop

Hive

Spark

MCP

Education

Bachelor’s or Master’s Degree in Computer Science or Software Engineering

Tools

AWS

GCP

Azure

Job description

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

• Full-time
• Job Type (exemption status): Exempt position - Please see related compensation & benefits details below
• Business Function: Data Analytics Engineering
• Work Location: Bangalore Hallmark Office (IBS)--LOC_WDT_IBS

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 peoplewho 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 [e-mail] 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.