Python Developer

Job Description

Job Role: Senior Python Developer Location: Kolkata We are looking for an experienced Senior Python Developer with deep expertise in Python fundamentals, object-oriented programming, and high-performance data handling. The ideal candidate will have extensive hands-on experience working with NumPy and Pandas , along with strong skills in writing efficient, scalable, and clean Python code. You will be responsible for building and optimizing data pipelines, implementing robust data transformations, and contributing to efficient, production-ready codebases. Key Responsibilities Develop high-quality, efficient, and scalable Python applications following industry best practices. Work with Python core data types including lists, tuples, sets, dictionaries, and strings. Structure code effectively using functions, classes, decorators, modules, and packages. Work extensively with NumPy ndarrays , including broadcasting, vectorization, and ufuncs. Develop and optimize code leveraging NumPy arrays for high-performance computations. Use Pandas for data loading, cleaning, manipulation, reindexing, merging, joining, and reshaping. Optimize data pipelines and perform grouping, aggregation, and time-series operations using groupby() and related functions. Must-Have Skills Minimum 7 years of hands-on Python development experience. Strong command of Python fundamentals , OOP concepts, modules, packages, and import mechanisms. Deep expertise in NumPy , including: ndarray structure and memory model dtypes, shapes, sizes Deep vs. shallow copying Broadcasting and vectorization Advanced proficiency in Pandas , including: DataFrame operations Indexing, slicing, filtering Merging, joining, and reshaping High-performance data manipulation and cleaning Good-to-Have Skills Experience optimizing data pipelines at scale. Familiarity with time-series analysis using Pandas. Understanding of Python performance tuning, memory optimization, and profiling. Knowledge of scientific or analytical computing environments. Exposure to other data-related libraries in the Python ecosystem (e.g., SciPy, Dask, PyArrow).