Data Engineer

2 weeks ago

Gurgaon, Haryana, India WTW Full time US$ 90,000 - US$ 1,20,000 per year

Description
The Role:

  • Integrate with internal/external LLM APIs (e.g., OpenAI, Azure OpenAI), including prompt engineering and pre/post-processing as required.
  • Build and maintain data analysis workflows using Pandas for data transformation and insight delivery.
  • Develop RESTful APIs using FastAPI or Flask for data and document management.
  • Design and implement clean, efficient, and modular Python codebases for backend services, data pipelines, and document processing workflows.
  • Support the team in onboarding new data sources, integrating with Azure services, and ensuring smooth cloud deployments.
  • Collaborate with product, data science, and engineering teams to translate business requirements into technical solutions.
  • Write unit tests and contribute to CI/CD pipelines for robust, production-ready code.
  • Stay up to date with advances in Python, LLM, and cloud technologies.

Qualifications
Qualifications:
Bachelor's or master's in computer science, Engineering, or related quantitative discipline.

Experience
6 to 9 years of hands-on experience in data engineering or backend development with Python.

Technical Competencies

  • Exposure to LLM integration (prompt design, API integration, handling text data).
  • Strong experience in Python with focus on data analysis (Pandas) and scripting.
  • Hands-on experience in building REST APIs (FastAPI or Flask).
  • Experience in developing data pipelines, data cleaning, and transformation.
  • Working knowledge of Azure cloud services (Azure Functions, Blob Storage, App Service, etc.)

(Nice to have) Experience integrating
MongoDB
with Python for data storage, modelling, or reporting.

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