Data Engineer

Remote role, PST work hours (9-5). VISA SPONSERSHIP IS NOT AVAILABLE

Seeking for a 3+ years experienced Data Engineer to data pipelines. The role focuses on finance data, RAG-based architectures, hallucination mitigation, and agentic AI systems deployed at scale. You will work closely with Product, Data, and Platform teams to deliver reliable, explainable, and production-ready AI solutions.

• Top must have's skills: Python, SQL, Snowflake, AWS.
• Technologies & Skills used:
• Python, SQL, DBT
• Data: Snowflake, DBT, structured & unstructured data pipelines
• Cloud: AWS (Code Pipeline - S3, EC2, ECS, Lambda etc)
• Nice to have skills:
• Agentic AI: LangGraph, LangChain, MCP, Agent-to-Agent (A2A) patterns oLLMs:- OpenAI (GPT-4/4.1), Anthropic.
• Education: BS or MS Computer Science or related fields is required

Responsibilities:

• Strong Data Engineering experience building scalable data pipelines using Python and modern data platforms
• Advanced Python skills for data processing, automation, AI/ML workflows, and pipeline development
• Strong SQL and DBT expertise for data modeling, transformation, and analytics engineering
• Hands-on experience in AI/ML model development, deployment, monitoring, and performance optimization
• Work with finance and enterprise datasets ensuring accuracy and governance
• Experience in Agent-to-Agent (A2A) architectures.

Our Fortune Technology client is ranked as one of the best companies to work with in the world. As a global leader in 3D design, engineering, and entertainment software, they foster a progressive culture, creativity, and a flexible work environment using cutting-edge technologies.