MAMaimsd Technology
Python Developer - Flask/Django
Bangalore ₹4-7 LPA Posted 1 Jul 2025
FULL TIME
Tensorflow
FastAPI
Pytorch
Sql
Redis
Job Description
- Key Responsibilities :
- Design, develop, and maintain efficient and scalable data pipelines to extract, transform, and load (ETL) data from various sources, including Redis, MongoDB, SQL, and Linux.
- Conduct in-depth data analysis and processing using Python libraries and tools to uncover valuable insights and trends.
- Develop and maintain data visualizations using matplotlib, seaborn, or other relevant tools to effectively communicate findings to stakeholders.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Develop and maintain web applications using Python frameworks like Flask, FastAPI, or Django, adhering to best practices and coding standards.
- Design and implement microservices architecture to build scalable and modular systems.
- Troubleshoot and resolve technical issues related to data pipelines, applications, and infrastructure.
- Stay updated with the latest trends and technologies in the data engineering and Python development landscape.
- Required Skills and Qualifications :
- Strong proficiency in Python programming, including object-oriented programming and functional programming concepts.
- Experience with data analysis and processing libraries such as pandas, NumPy, and scikit-learn.
- Familiarity with data storage and retrieval technologies, including Redis, MongoDB, SQL, and Linux.
- Knowledge of data visualization tools like matplotlib and seaborn.
- Experience with web development frameworks such as Flask, FastAPI, or Django.
- Understanding of microservices architecture and principles.
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- Strong communication and interpersonal skills.
- Preferred Skills and Qualifications :
- Experience with cloud platforms (AWS, GCP, Azure).
- Knowledge of containerization technologies (Docker, Kubernetes).
- Familiarity with data warehousing and data lake concepts.
- Experience with machine learning and deep learning frameworks (TensorFlow, PyTorch).