Job Description

Python Specialist (with Pandas) - Data Processing & Analysis

Job Title: Python Developer - Pandas Specialist

Experience: 3-6 years

Job Summary:

We are looking for a skilled Python developer with hands-on experience in data

manipulation and analysis using Pandas. The ideal candidate should have strong

problem-solving skills and experience working with large datasets in real-world

applications.

Key Responsibilities:

? Write efficient, scalable Python code for data processing and transformation.

? Perform complex data manipulation using Pandas, NumPy, and other scientific

libraries.

? Clean, transform, and analyze large volumes of structured and unstructured data.

? Develop scripts and tools to automate workflows.

? Collaborate with data engineers and analysts to optimize data pipelines.

? Participate in code reviews and follow best practices in version control (Git).

Required Skills:

? Strong proficiency in Python, especially with Pandas and NumPy.

? Experience working with data files in formats like CSV, Excel, JSON, and SQL.

? Familiarity with Jupyter Notebooks, API integrations, and data visualization tools

(e.g., Matplotlib, Seaborn).

? Experience with SQL queries and relational databases.

? Good understanding of software development lifecycle and version control (Git).

Good to Have:

? Exposure to machine learning libraries (e.g., scikit-learn).

? Experience with cloud platforms (AWS/Azure/GCP) or data lake frameworks.

? Familiarity with Airflow, Spark, or other data orchestration tools.

Job Type: Full-time

Pay: ?1,200,000.00 - ?1,400,000.00 per year

Benefits:

Health insurance Paid sick time Provident Fund
Work Location: In person