Datagaps - Senior Python Developer - Flask/Django/FastAPI

Description :

Role Overview :

We are seeking a highly skilled Senior Python Developer with strong expertise in Python application development and exposure to Business Intelligence (BI) tools and data-driven platforms. The ideal candidate will design and implement scalable applications, integrate data workflows, and collaborate closely with BI teams to deliver analytics-driven solutions.

Notice :

0-15 days preferred

Key Responsibilities :

- Collaborate with cross-functional teams to understand business and technical requirements.

- Design, develop, and maintain scalable backend services and APIs using Python.

- Build and integrate data pipelines to support BI dashboards and reporting systems.

- Utilize server-side logic to seamlessly integrate with front-end components.

- Perform application testing, debugging, and optimization to ensure performance and reliability.

- Work with relational and non-relational databases to store and process structured/unstructured data.

- Support BI tool integration (such as Power BI, Tableau, or similar) with backend services.

- Contribute to the design and implementation of high-performance, low-latency applications.

- Participate in feature prioritization, evaluation, and provide technical recommendations.

- Effective peer code reviews and mentor junior developers and contribute to best practices in coding, testing, and deployment.

Required Skillsets :

- Strong programming skills in Python with hands-on experience in frameworks like Flask, Django, or FastAPI.

- Proficiency in object-oriented design, multithreading, and multiprocessing concepts.

- Strong understanding of server-side templating, RESTful APIs, and microservices architecture.

- Hands-on experience with databases (PostgreSQL, MySQL, MongoDB, etc.) and data modeling.

- Exposure to BI/Analytics tools such as Power BI, Tableau, or Qlik ability to integrate and optimize backend services for BI dashboards.

- Good understanding of ETL workflows, data pipelines, and data integration techniques.

- Familiarity with version control systems (Git) and CI/CD practices.

- Experience with unit testing, integration testing, and debugging tools.

- Strong problem-solving skills with the ability to analyse large datasets for application and BI use cases.

- Excellent communication, collaboration, and leadership skills.

Preferred Skills (Nice-to-Have) :

- Experience with cloud platforms (AWS, Azure, or GCP) for data storage and application deployment.

- Familiarity with containerization and orchestration (Docker, Kubernetes).

- Knowledge of data analysis libraries (Pandas, NumPy, Matplotlib) for Python-based BI support.

- Knowledge of Apache Spark.

- Experience working in Agile/Scrum environments.