Python Developer - Numpy/Pandas (5-6 yrs)

Job Description :

We are seeking a skilled Python Developer with experience to join our dynamic team. The ideal candidate will have extensive experience in handling and processing large datasets, developing high-performance applications, and working with the latest Python libraries and tools for optimized performance. As a Python Developer, you will collaborate with engineers, and other stakeholders to build scalable, efficient, and secure systems that can process massive amounts of data quickly and effectively.

Responsibilities :

- Design, develop, and maintain Python-based applications for handling large datasets and ensuring high performance.

- Optimize and refactor existing code to improve scalability, processing speed, and efficiency.

- Collaborate with the data engineering team to integrate data sources, and transform and clean data for analysis.

- Utilize multithreading, parallel processing, and asynchronous programming to ensure optimized handling of large data volumes.

- Implement robust data pipelines using ETL processes for smooth data ingestion and transformation.

- Work with the latest Python libraries and frameworks such as Pandas, NumPy, Polars, etc. to streamline data processing tasks.

- Ensure code quality through unit testing, code reviews, and continuous integration.

- Stay updated with the latest developments in Python and related tools, suggesting improvements to the tech stack.

Requirements :

- Bachelor's or Master's Degree in Computer Science, Engineering, or a related field.

- 5-6 years of experience in Python development, with a focus on data-intensive applications.

- Strong understanding of Python's core libraries and frameworks for data manipulation (e. g., Pandas, NumPy, Dask, PySpark).

- Experience with database systems like SQL, and NoSQL databases like Cassandra, and PostgreSQL.

- Hands-on experience in asynchronous programming, multithreading, and parallel computing.

- Proficiency in writing optimized code for high-performance data processing.

- Experience with data pipelines, ETL processes, and API integration.

- Excellent problem-solving skills with a strong understanding of algorithms and data structures.

- Knowledge of version control systems like Git.