Data Engineer II SQL,ETL and Analytics

As a Data Engineer II at JPMorgan Chase you serve as a seasoned member of an agile team to design and deliver trusted data collection storage access and analytics solutions in a secure stable and scalable way. You are responsible for developing testing and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Supports review of controls to ensure sufficient protection of enterprise data
• Responsible for making configurations/customization changes in one to two tools to generate a product at the business/customer request and advising colleagues in their requests
• Updates logical or physical data models based on new use cases
• Frequently uses SQL and understands NoSQL databases and their niche in the marketplace

Required qualifications capabilities and skills

• Experience or equivalent expertise in Data Engineering across the data lifecycle
  Advanced at SQL
• Working understanding of NoSQL databases
• Demonstrated proficiency in data fluency including experience with data extraction interpretation and making data-informed decisions
• Significant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis
• Developing technical fluency in relevant platforms software tools and technologies with a curiosity to continuously expand technical knowledge
• Experience in data visualization and analytics including understanding of vendor products and managing vendor relations

Preferred qualifications capabilities and skills

• Experience with distributed databases
• Experience with Databricks
• Experience working with AI automation frameworks and integrating Large Language Models (LLMs) into software solutions including prompt engineering model evaluation and deployment.
• Familiarity with LLM platforms and tools (such as OpenAI Hugging Face or similar).
• Experience in Test Driven Development and Acceptance Test Driven Development will be an added advantage
• Risk Management knowledge
• Technical background and an understanding of the financial industry