Principal Engineer Data Analytics Engineering 8 Years Java Python Kafka Kubernetes

WD; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

WD is seeking an experienced Data Analytics Engineer in Bengaluru to architect and deliver end-to-end data analytics solutions. You will lead cross-functional teams, design both batch and streaming data pipelines, and build AI-enabled assistants and automation integrations.

You will deploy applications on Kubernetes, implement GitOps, and collaborate with stakeholders to meet analytics needs. The role requires 8+ years of experience with Java and Python, strong SQL/NoSQL skills, and expertise in

Qualifications

• 8+ years of hands-on software or data analytics engineering experience.

Responsibilities

• Architect end-to-end data analytics solutions with cross-functional teams.
• Build and maintain batch and streaming data pipelines.
• Develop AI-enabled assistants and automation integrations.
• Deploy on Kubernetes with GitOps and CI/CD.

Skills

Java

Python

SQL/NoSQL

Big Data

Spark

Kafka

Hadoop

Hive

Kubernetes

CI/CD

MCP (Model Context Protocol)

Education

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

Tools

Spark

Kafka

Hadoop

Hive

SQL/NoSQL databases

Kubernetes

GitOps

CI/CD pipelines

Job description

Job Description:

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 peoplewho 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 atto 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.

Requirements

• 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