Job 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, NoSQL databases like Cassandra, 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.

• 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, 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.