Job Description
Having 6+ years of experience
Integrate Agentic AI / AI-powered analytics into enterprise workflows and automation solutions.
Collaborate with data scientists and ML engineers to operationalize AI/ML models.
Enable intelligent insights, decision-making, and process automation across platforms.
Architect scalable, reliable, and maintainable data pipelines and analytics platforms.
Implement observability, monitoring, and logging for production systems.
Partner with product, data, and engineering teams to align solutions with business objectives.
Drive end-to-end delivery of features and ensure timely deployment.
Python and Apache Airflow for ETL and data pipeline development
Experience in large-scale data pipelines and infrastructure engineering
Knowledge of Agentic AI / AI-powered analytics & automation
Strong understanding of cloud-native architectures and scalable distributed systems
Proven ability to lead technical teams and mentor engineers
Expertise in
Java 17-21 / Spring Boot 3.x microservices
React / JavaScript / Redux / Webpack
Agentic AI / AI-powered analytics & automation
Data pipelines / ETL / infrastructure engineering
Ontotext GraphDB / SPARQL / SKOS ontologies
GraphQL / AWS AppSync / DynamoDB
Python / Airflow / ETL / data pipelines
Python / AWS Lambda / SAM / Step Functions
React 18 / TypeScript / Vite / MUI
Technical leadership / tech lead capability
