Principal Engineer, Data Analytics Engineering [ 8+ years ] (Java/Python | Kafka | Kubernetes)
Core
Architect and build end-to-end data analytics platforms, batch/streaming pipelines, and AI-enabled automation solutions for enterprise customers.
Role type
Principal Engineer, Data Analytics Engineering
Builds
Data pipelines, AI assistants/chatbots, automation services, REST APIs, and Kubernetes-based applications
Domain
Data Engineering, AI/ML, Cloud Infrastructure
Deliverable
production ML models
Required skills
Java, Python, SQL/NoSQL, Big Data (Hadoop, Hive), Kafka, Spark, Kubernetes, GitOps, CI/CD, MCP (Model Context Protocol)
Preferred skills
AWS, GCP, Azure, TDD, Agile
Technologies
Kafka, Kubernetes, Spark, Hadoop, Hive, AWS, GCP, Azure, GitOps
Responsibilities
Architect end-to-end data solutions, design and support batch/streaming pipelines, develop AI automation services and integrations, deploy applications on Kubernetes/Edge platforms, guide team members on technical challenges
Seniority
Principal, hands-on IC & mentorship
