Python Developer

1 week ago

Bengaluru, Karnataka, India Nasugroup Full time ₹ 4,00,000 - ₹ 12,00,000 per year

We are looking for a skilled Python Developer to build and optimize data processing pipelines.

The role involves extensive work with Pandas and NumPy for data transformation, cleaning, and numerical computation, along with handling structured data (CSV, Excel, JSON) and databases (SQL).

You'll collaborate with data and business teams to ensure data accuracy, performance, and scalability while maintaining clean, well-documented, and tested code.

Strong problem-solving, analytical, and communication skills are essential.

Roles and Responsibilities :

- Develop, maintain, and optimize Python scripts and programs for data processing, cleansing, and validation.

- Work extensively with Pandas for data wrangling, aggregation, and transformation.

- Use NumPy for efficient numerical computations and data manipulation.

- Design and implement efficient data pipelines to handle large datasets from multiple sources.

- Collaborate with data analysts, data scientists, and business teams to understand data requirements.

- Ensure code quality, performance optimization, and adherence to best practices.

- Write unit tests and ensure proper error handling and logging.

- Debug and troubleshoot data-related issues, ensuring data accuracy and consistency.

- Document processes, workflows, and data pipelines for future reference.

- Contribute to process improvements and propose new approaches for data handling and performance enhancement.

Required Skills & Qualifications:

to 5 years of hands-on experience with Python programming.

- Strong expertise in Pandas for data transformation, cleaning, and validation.

- Proficiency in NumPy for numerical computations.

- Experience working with CSV, Excel, JSON, and other structured data formats.

- Understanding of dataframes, indexing, merging, group-by operations, and time series handling.

- Familiarity with data performance optimization techniques, including vectorization and efficient memory handling.

- Experience working with databases (SQL) for data extraction and processing.

- Strong analytical and problem-solving skills.

- Ability to work both independently and collaboratively within a team.

- Excellent communication and documentation skills.

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