Data Engineer with LLM_96547

Company:A Large Global Organization

Key Skills: LLM, Data Engineer, SQL, Python, Pyspark, AWS, C++, GIT, Scripting

Roles and Responsibilities:

• Design, develop, and maintain projects using Python while providing operational support.
• Transform a wide range of structured and unstructured data into standardized outputs for quantitative analysis and financial engineering.
• Participate in code reviews, ensure adherence to coding standards, and contribute to the improvement of the codebase.
• Develop utility tools to automate software development, testing, and deployment workflows.
• Collaborate with internal and external cross-functional teams to achieve project goals.

Skills Required:

• Strong Python programming skills for building data pipelines and operational support
• Solid SQL skills for querying and manipulating structured data
• Knowledge of Large Language Models (LLM) and their integration with data pipelines
• Experience with data engineering frameworks such as PySpark
• Familiarity with cloud platforms (AWS) for deployment and scaling
• Knowledge of C++, scripting, and version control tools (GIT) is desirable
• Ability to transform structured and unstructured data into standardized outputs
• Code quality awareness: adherence to coding standards and participation in code reviews
• Automation skills to develop utility tools for software development, testing, and deployment

Education: B.E., B.Tech, or M.Tech (Dual) in Computer Science, Computer Engineering, or Information Technology