Note: The job is a remote job and is open to candidates in USA. Net2Source (N2S) is seeking a Data Engineer to build scalable data pipelines and work closely with Product, Data, and Platform teams. The role focuses on finance data, RAG-based architectures, and deploying AI solutions at scale.

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

Skills

• 3 to 5 years' experience
• Minimum Education Required: BS or MS Computer Science or related fields
• 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
• Python Programming is must
• Snowflake required
• Top Skills: Python, SQL, AWS, DBT
• Finance Background is a plus (Who has Finance Data experience from SQL perspective)
• AI/ML is nice to have (LLM, RAG, LangGraph, LangChain, AI)
• Good to have: Agentic AI: LangGraph, LangChain, MCP, Agent-to-Agent (A2A) patterns
• LLMs: OpenAI (GPT-4/4.1), Anthropic

Benefits

• W2 option

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