Western Digital: Principal Engineer, Data Analytics Engineering [ 8+ years ] (Java/Python | Kafka | Kubernetes) — Bengaluru, KA, India

Western Digital lists a Principal Engineer, Data Analytics Engineering [ 8+ years ] (Java/Python | Kafka | Kubernetes) opening in Bengaluru, KA, India. The position is listed as full-time. The job description covers Python, Java, Kubernetes, CI/CD, AI, stakeholder management.

Recruitment overview

OrganisationWestern Digital
Post / rolePrincipal Engineer, Data Analytics Engineering [ 8+ years ] (Java/Python | Kafka | Kubernetes)
Employment typeFull-time
Notification / job IDREF33726I
Job locationBengaluru, KA, India
Work arrangementOn-site
Educational qualificationDegree / qualification: Bachelor’s or Master’s Degree in Computer Science or Software Engineering ; minimum 8+ years of experience
Experience requiredBachelor’s or Master’s Degree in Computer Science or Software Engineering ; minimum 8+ years of experience
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About Western Digital

Western Digital develops and manufactures data-storage technology for data centres, cloud platforms and enterprise infrastructure. Its employer introduction connects this work with the need to retain, manage and access information generated by digital systems and AI applications. The business brings engineering and manufacturing together around the physical systems behind data storage. Its described purpose is to make growing volumes of information available over time, supporting the infrastructure on which other digital services depend.

The position and its setting

Western Digital lists Principal Engineer, Data Analytics Engineering [ 8+ years ] (Java/Python | Kafka | Kubernetes) in Bengaluru, KA, India, under reference REF33726I. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Employment type: Full-time
  • Employer listing date: 23 October 2026
  • Brands: Western Digital
  • Business Function: Data Analytics Engineering
  • Work Location: Bangalore Hallmark Office (IBS)

Responsibilities and work described

  • Architecture: end-to-end solutions, lead teams by example and work with cross functional stakeholders to productise the solutions
  • Design, delivery and support: platform for customer analytical needs using Java and/or Python as programming language
  • Design, delivery and support: batch processing and streaming data pipelines
  • Design, delivery and support: AI-enabled assistants, chatbots, and automation solutions
  • Development: Python-based automation services, REST APIs, and backend integrations to connect AI/automation solutions with enterprise systems, including MCP-based tool integrations
  • Deployment and support: applications on Kubernetes/Edge platforms, using GitOps and CI/CD pipelines
  • Work: with cross functional stakeholders to understand their requirements
  • Technical guidance: team members overcome technical challenges

Essential requirements and candidate background

  • Bachelor’s or Master’s Degree in Computer Science or Software Engineering ; minimum 8+ years of experience
  • Proficiency: computer science fundamentals, algorithms & data structures
  • Proficiency: programming: Java And/or Python
  • Experience: Databases: (SQL/NoSQL) & Big-data tools: (Hadoop, Hive)
  • Familiarity: agentic AI concepts: tool usage, multi-step orchestration, and MCP (Model Context Protocol) for enterprise integrations

Preferred experience and additional strengths

  • Experience: Cloud Platforms like AWS, GCP and Azure
  • Proficiency: 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
  • Communication, analytical and problem solving skills

Location, schedule and contract conditions

  • Work arrangement: On-site
  • Advertised location: Bengaluru, KA, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Principal Engineer, Data Analytics Engineering [ 8+ years ] (Java/Python | Kafka | Kubernetes) vacancy is not an offer for reference REF33726I; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Western Digital

Applications follow the official employer page linked below. The source includes these application-specific points:

Open the official Western Digital posting below and match the title and reference REF33726I.

Compare your qualifications and experience with the essential conditions for the Bengaluru, KA, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

  • Accommodation requests: jobs.accommodations@wdc.com
  • Employer states that applications and employment offers do not require payment

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

  • Python
  • Java
  • SQL
  • NoSQL
  • Hadoop
  • Hive
  • Spark
  • Kafka
  • Kubernetes
  • GitOps
  • CI/CD
  • AWS
  • GCP
  • Azure
  • MCP
  • REST APIs
  • APIs
  • AI/ML
  • AI
  • stakeholder management
  • Google Cloud

Important links

Official notification / job descriptionOpen official page
Online application portalOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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