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

Full Time
Verified Opening · Sourced from official employer portal
Share with Batch & Groups: WhatsApp Telegram
Advertisement
  • Full Time
  • Anywhere

Western Digital

Job opening

Principal Engineer, Data Analytics Engineering [ 8+ years ] at Western Digital

Western Digital is hiring a Principal Engineer, Data Analytics Engineering [ 8+ years ] in Bengaluru, Karnataka, India. The role details below come from the employer’s posting. You apply on the employer’s own site, and TechJobs360 never charges candidates.

1. Job details

Company
Western Digital
Role
Principal Engineer, Data Analytics Engineering [ 8+ years ]
Location
Bengaluru, Karnataka, India
Salary / CTC
Not disclosed by employer
Experience
See the job description
How to apply
On the employer’s site

Advertisement

2. Job description from Western Digital

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

Guide team members overcome technical challenges

Qualifications

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

Additional Information

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].

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

3. Skills that usually matter in data and AI roles

General guidance from TechJobs360, not part of Western Digital’s posting. The job description above is what counts for this role.

AreaWhat to be comfortable with
LanguagesPython, SQL, Scala
Frameworks & toolsSpark, pandas, PyTorch / TensorFlow, Airflow, a cloud data warehouse
Computer science basicsData structures, algorithms, complexity
Ways of workingVersion control, code review, testing, reading other people's code

4. How to prepare for a Principal Engineer, Data Analytics Engineering [ 8+ years ] interview

Interview formats differ by company and team, so confirm the rounds with the recruiter. Most hiring loops for roles like this cover:

Screening

A recruiter call or an online test. Read the job description twice and be ready to explain how your experience matches it.

Technical round

Often coding problems on arrays, strings, trees, graphs or dynamic programming, solved while you explain your thinking.

Practical or design round

Often design and trade-off questions sized to the role: an API, a component, or a small system.

Manager and behavioural round

Answer with the STAR method (Situation, Task, Action, Result). Prepare two or three real stories: a hard problem you solved, a disagreement you handled, and something you learned quickly.

5. Take-home pay example (FY 2026–27, new tax regime)

An example for two common package sizes, not this job’s salary. Under the new tax regime (Section 115BAC) salaried employees get a standard deduction of ₹75,000.

ComponentExample: ₹12 LPAExample: ₹24 LPA
Basic salary (40% of CTC)₹40,000 / mo₹80,000 / mo
Employee EPF (12% of basic)-₹4,800 / mo-₹9,600 / mo
Income tax (TDS)-₹6,933 / mo-₹32,450 / mo
Professional tax-₹200 / mo-₹200 / mo
Approx. in-hand₹81,344 / mo₹1,44,304 / mo

Work out the take-home pay for your own offer, in either tax regime.

Open the salary calculator →

6. Questions and how to apply

How do I apply?

Use the apply button below. It opens Western Digital’s own application page.

Does TechJobs360 recruit for this job or charge a fee?

No. We list openings from employers’ career sites. Western Digital runs the hiring, and nobody should ask you to pay to apply.

Is this job still open?

We check listings against the employer’s page every day and take down jobs that have closed.

Should I apply if I don’t match every requirement?

Usually yes, if you meet most of the core requirements and can show you learn quickly. A referral from someone on the team can help your resume get read.

Apply for Principal Engineer, Data Analytics Engineering [ 8+ years ] at Western Digital

Apply on the employer’s site →

Free to apply. TechJobs360 never charges candidates.

To apply for this job please visit jobs.smartrecruiters.com.

Get Notified for Similar Openings
Join 15,000+ tech engineers getting weekly verified off-campus & lateral hiring alerts.
Join Telegram
Principal Engineer, Data Analytics Engineering [ 8+ years ] (Java/Python | Kafka | Kubernetes) at Western Digital
Western Digital · Bengaluru, Karnataka, India
Apply Now →