Principal Engineer, Data Analytics Engineering [ 8+ years ] (Java/Python | Kafka | Kubernetes)
Western Digital Corporation (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and lead end-to-end data analytics engineering solutions, collaborating with cross-functional teams to productise them.
- Design, build, and support batch and streaming data pipelines and AI-enabled automation solutions using Java/Python.
- Deploy and maintain applications on Kubernetes/Edge platforms using GitOps and CI/CD pipelines; guide team members on technical challenges.
Minimum Requirements
- Minimum 8+ years of experience with a Bachelor’s or Master’s degree in Computer Science or Software Engineering.
- Proficiency in Java and/or Python programming languages and strong computer science fundamentals including algorithms and data structures.
- Experience with SQL/NoSQL databases, Big Data technologies like Hadoop and Hive, and batch/streaming pipelines (Spark/Kafka preferable).
- Familiarity with AI integration concepts such as tool usage, multi-step orchestration, and Model Context Protocol (MCP).
Ideal Candidate Profile
- Experienced in architecting scalable data analytics platforms and automation solutions at enterprise or hyperscale environments.
- Skilled in deploying applications on Kubernetes and managing CI/CD pipelines following GitOps practices.
- Comfortable working cross-functionally with stakeholders to translate requirements into technical solutions and mentoring engineering teams.