The role involves owning and developing key components of the data ecosystem to provide internal and external stakeholders with market-leading insights
Job Summary
The role involves owning and developing key components of the data ecosystem to provide internal and external stakeholders with market-leading insights.
Candidates will collaborate with Business, Product, and Engineering teams to build a platform capable of supporting Agentic AI workflows and LLM-powered assistants.
The position requires translating user requirements into robust data products while ensuring reliable execution and consumption by downstream applications.
Matching Summary
The role involves owning and developing key components of the data ecosystem to provide internal and external stakeholders with market-leading insights.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
2-4 years data engineering experience
Python Java or Scala proficiency
Azure or AWS cloud platforms
PySpark distributed processing
Java Spring Boot backend development
SQL NoSQL database management
Machine learning model integration
Nice-to-have
React Angular or Vue.js frontend skills
Knowledge graph semantic layers
Kafka Spark Streaming exposure
Docker Kubernetes containerization
LLM workflows prompt engineering
AI-augmented software development tools
CI/CD pipeline DevOps principles
Key Requirements
2-4 years data engineering experience
1-2 years cloud platform experience
Bachelor's degree in Computer Science preferred
Strong analytical and systems-thinking abilities
Proactive ownership and drive for platform quality