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

About the role

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.

What you'll do

• 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
• Deploy and support applications on Kubernetes/Edge platforms, using GitOps and CI/CD pipelines

What you need

• 8–14 years in software engineering
• Java
• Python
• Kafka
• Kubernetes
• Data analysis
• Data structures
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• AWS
• GCP
• Agile
• Azure
• Spark
• SQL