The Lead Data Engineer will focus on Azure Data Engineering, utilizing skills in AKS, Event Hub, Cosmos DB, and Azure DevOps to design and implement data solutions.

Seeking a skilled Snowflake Developer to design and optimize data solutions using Snowflake, focusing on ETL, SQL, and data modeling.

Design and manage cloud automation for Azure and AWS, deploy and maintain EKS clusters, perform vulnerability analysis and remediation across AWS, Linux and OS levels, develop Python automation scripts, improve CI/CD pipelines, and collaborate with security and operations to ensure governance, compliance, and performance optimization.

Lead and manage ETL team to design, develop, and optimize ETL workflows using Informatica PowerCenter and IICS. Work with stakeholders to gather requirements, ensure data quality, perform advanced SQL-based extraction/transformation, optimize ETL (pushdown), troubleshoot errors, coordinate deployments, and mentor the team. Snowflake and shell scripting experience required; Python is a plus.

Lead research, design, and deployment of multi-agent, agentic AI systems using LangGraph and LLM orchestration. Build memory-augmented agents, implement RAG with vector DBs, apply RLHF/RLAIF, prototype PoCs, scale production architectures, and mentor AI engineers.

Lead design, development, and deployment of multi-agent, memory-augmented AI systems using LangGraph and LLM orchestration. Build scalable agent architectures, implement knowledge graphs and vector DBs (Pinecone/Weaviate/FAISS), apply RAG and RLHF/RLAIF, optimize production workflows, run PoCs demonstrating business impact, and mentor AI engineers and data scientists.

Design and build full‑stack applications using React and Java. Develop microservices with Spring Boot, use Hibernate for persistence, integrate CI/CD and Docker, and work with MySQL/Oracle databases.

Lead design, development, and deployment of multi-agent, agentic AI solutions using LangGraph, LLM orchestration, RAG, and RL-based fine-tuning. Build scalable architectures, integrate vector databases and knowledge graphs, run PoCs to demonstrate business impact, and mentor AI engineers and data scientists for production-grade autonomous agents.

The Snowflake Developer will design and optimize data solutions using Snowflake, develop ETL processes, and collaborate with teams for data governance and compliance.

Design, develop, and optimize data pipelines and analytics solutions using Databricks and PySpark, ensuring data quality and compliance.

The Lead Data Engineer will oversee data engineering projects, utilizing Azure services and ensuring efficient data processing and management.