The role involves designing and scaling a core data platform that consolidates siloed systems into a unified source of truth for stakeholders across the business
Job Summary
The role involves designing and scaling a core data platform that consolidates siloed systems into a unified source of truth for stakeholders across the business.
You will partner with Research, Product, and Engineering teams to build intelligent applications including Agentic AI workflows and LLM-powered assistants.
This position offers ownership over critical components of the data ecosystem, serving internal and external customers like brokers and analysts with robust data products.
Matching Summary
The role involves designing and scaling a core data platform that consolidates siloed systems into a unified source of truth for stakeholders across the business.
Skills & Requirements
Must-have
4-6 years data engineering experience
Azure or AWS cloud platform proficiency
Python Java Scala server-side programming
PySpark distributed data processing
Java Spring Boot backend development
SQL NoSQL database management
Machine learning model integration
Nice-to-have
React Angular Vue.js frontend frameworks
Semantic layer and knowledge graph design
Kafka Spark Streaming streaming tools
Docker Kubernetes containerization
LangChain LlamaIndex orchestration tools
AI-augmented software development lifecycle
Prompt engineering and LLM workflows
Key Requirements
4-6 years experience in data engineering
2-3 years hands-on cloud platform experience
Bachelor's degree in Computer Science or related field preferred
Strong software engineering background in backend development