Description

Build and optimize enterprise Azure data platforms and production-ready GenAI solutions.

This role is on-site.

Responsibilities

• Build and optimize data pipelines using Azure Data Factory, Databricks, and ADLS.
• Design scalable distributed systems for batch and streaming data processing.
• Develop GenAI solutions using Azure OpenAI, implementing RAG architectures with vector databases.
• Deploy and support production workloads using Docker and Kubernetes with CI/CD.
• Collaborate in Agile teams to support production data applications and analytics.

Required Skills

• 6+ years’ experience in Full Stack, Data Engineering, and AI/LLM systems.
• Strong expertise in Python and PySpark.
• Hands-on experience with Azure Data Factory, Databricks, and ADLS.
• Knowledge of Azure OpenAI and implementing RAG (Retrieval-Augmented Generation).
• Experience deploying containerized applications with Docker and Kubernetes.
• Understanding of distributed systems, caching, replication, and data modeling.

Preferred Skills

• Knowledge of capital markets, including Fixed Income, FX, or Derivatives.

Key Skills

Education

Any Graduate