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fulltime·Western Digital

Principal Engineer, Data Analytics Engineering

Bengaluru, IndiaEstimated ₹35 - 58 LPA6 skills

This is our market estimate, based on AmbitionBox Western Digital Principal Engineer India (201 salaries). It is not the employer's disclosed pay.

Skills & Stack

Data analyticsData engineeringPythonSQLCloudArchitecture

About the Role

Principal engineer leading data analytics engineering architecture and delivery at Western Digital Bengaluru.

About Western Digital

Global data storage and infrastructure company.

What You'll Do

7 items
  • 1Architect end-to-end solutions, lead teams by example and work with cross functional stakeholders to productise the solutions.  
  • 2Design, build and support platform for customer analytical needs using Java and/or Python as programming language
  • 3Design, build and support batch processing and streaming data pipelines
  • 4Design, develop, and support AI-enabled assistants, chatbots, and automation solutions
  • 5Develop Python-based automation services, REST APIs, and backend integrations to connect AI/automation solutions with enterprise systems, including MCP-based tool integrations
  • 6Deploy and support applications on Kubernetes/Edge platforms, using GitOps and CI/CD pipelines
  • 7Work with cross functional stakeholders to understand their requirements

What We're Looking For

  • 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
  • Experience with Cloud Platforms like AWS, GCP and Azure
  • Proficient in architect and designing batch processing and streaming data pipelines using Spark, Kafka

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