Python Data Engineer

About the Role:

Python Data Engineer

Key Responsibilities:

• Design, develop, and maintain robust

  data pipelines

  using Python
• Work with

  Pandas

  for data manipulation, transformation, and modeling
• Integrate data from various sources into

  Azure Data Lake

  ,

  Azure Data Factory

  , or

  AWS/GCP

  ecosystems
• Build and maintain RESTful services using frameworks like

  Django

  ,

  FastAPI

  , or

  Flask

• Collaborate with data scientists and analysts to support AI workflows (prompting experience is a plus)
• Develop and test scripts in

  Jupyter Notebook

  (preferred) or

  VSCode

• Ensure high performance, availability, and security of data systems
• Write clean, scalable, and well-documented code

Required Skills:

Python

Django

Pandas

Azure Data Factory

Jupyter Notebook

Knowledge of SQL and working with structured/unstructured data

Experience: 4-6 Yr

Location:

Nice to Have:

AI prompting

Azure Data Studio

CI/CD and DevOps experience on cloud platforms

Familiarity with data security and governance best practices

What We Offer:

Competitive salary & performance-based bonuses

Flexible work hours and remote-friendly culture

Access to the latest tools and cloud technologies

Opportunity to work with a collaborative and data-driven team

Professional development support and upskilling resources