Python Developer - Flask/Django

Python Developer - Flask/Django

Python Developer

Key Responsibilities

• Efficient and scalable data pipelines

  will be designed, developed, and maintained to extract, transform, and load (ETL) data from various sources, including Redis, MongoDB, SQL, and Linux.

• In-depth data analysis and processing

  will be conducted using Python libraries and tools to uncover valuable insights and trends.

• Data visualizations

  will be developed and maintained using matplotlib, seaborn, or other relevant tools to effectively communicate findings to stakeholders.

• Collaboration with cross-functional teams

  is essential to understand business requirements and translate them into technical solutions.

• Web applications

  will be developed and maintained using Python frameworks like Flask, FastAPI, or Django, adhering to best practices and coding standards.

• Microservices architecture

  will be designed and implemented to build scalable and modular systems.

• Technical issues

  related to data pipelines, applications, and infrastructure will be troubleshot and resolved.
• Staying

  updated with the latest trends and technologies

  in the data engineering and Python development landscape is crucial.

Technical Skill Requirements

• Strong proficiency in

  Python programming

  , including object-oriented programming and functional programming concepts, is mandatory.
• Experience with

  data analysis and processing libraries

  such as pandas, NumPy, and scikit-learn is required.
• Familiarity with

  data storage and retrieval technologies

  , including Redis, MongoDB, SQL, and Linux, is essential.
• Knowledge of

  data visualization tools

  like matplotlib and seaborn is necessary.
• Experience with

  web development frameworks

  such as Flask, FastAPI, or Django is required.
• Understanding of

  microservices architecture and principles

  is essential.

General Requirements

• Employment Type:

  Full Time, Permanent.

• Notice Period:

  Immediate - 15 Days.
• Excellent

  problem-solving and analytical skills

  are vital.
• Ability to work

  independently and as part of a team

  is expected.
• Strong

  communication and interpersonal skills

  are required.

Preferred Skills

• Experience with

  cloud platforms

  (AWS, GCP, Azure) is a plus.
• Knowledge of

  containerization technologies

  (Docker, Kubernetes) is beneficial.
• Familiarity with

  data warehousing and data lake concepts

  is desired.
• Experience with

  machine learning and deep learning frameworks

  (TensorFlow, PyTorch) is an advantage.