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Tier-1 brand, metro Bangalore, popular data title, and broad skillset requirements increase competition.
Deep data platform and streaming expertise moderately limit cross-industry transferability.
Explicit 9+ years plus mandatory streaming, ML, cloud, and tooling experience make filters strict.
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Design, develop, and deploy end-to-end distributed data systems and pipelines supporting batch and real-time product needs.
Architect and refine data models and integrate AI/ML/LLM solutions to enable scalable data-informed decision-making.
Collaborate closely with cross-functional teams to maintain high data quality, performance, monitoring, and operational excellence.
Based in Bangalore location.
Bachelor's degree or equivalent in computer science.
9+ years of software development experience with strong expertise in distributed data platforms and streaming systems (e.g., Kafka, Databricks).
Proficient in Javascript, Typescript, Python, Node.js, REST APIs, containerization (Docker, Kubernetes), cloud services (AWS or Azure), and security protocols.
Experienced senior data engineer capable of independently leading architecture and full lifecycle development of large-scale cloud-native data systems.
Strong integration capabilities with AI/ML technologies including LLM workflows and prompt engineering.
Working style involves cross-team collaboration with product managers, data scientists, ML engineers, with focus on operational stability and scalable solutions.