Python Pandas
Persistent System Limited
- Onsite
- PAN India
- Full Time
- 5+ Years
-
Data Loading
-
Data Inspection
-
Data Manipulation
-
Statistical Analysis
-
Data Integration
Job Category
Analytics Expert
English Proficiency
Fluent
Project Duration
Full Time
Budget Range
15 LPA
Job Overview:
We are looking for a skilled Python Developer with strong expertise in Pandas and data manipulation to join our team. The ideal candidate should have hands-on experience in building data pipelines, performing data cleaning and transformation, and integrating Python-based solutions into business processes.
Key Responsibilities:
- Develop, optimize, and maintain Python scripts for data analysis and processing using Pandas, NumPy, and other data-centric libraries.
- Work with large datasets for cleaning, wrangling, transformation, and analysis.
- Design and implement automated workflows for data extraction, transformation, and loading (ETL).
- Collaborate with data engineers, analysts, and business stakeholders to understand data needs and deliver insights.
- Integrate Python solutions with databases, APIs, and visualization tools.
- Write clean, efficient, and well-documented code following best practices.
- Troubleshoot and optimize existing Python scripts for performance and scalability.
- Technical Skills Required:
- Strong proficiency in Python (3.x) and Pandas library.
- Solid understanding of NumPy, Matplotlib, Seaborn, or similar libraries.
- Experience with SQL and relational databases (MySQL, PostgreSQL, etc.).
- Familiarity with API integration and data pipeline development.
- Knowledge of data formats (CSV, JSON, Parquet, Excel, etc.).
- Hands-on experience with Jupyter Notebook or VS Code for development.
- Version control using Git/GitHub.
Good to Have:
- Experience with ETL tools, data warehouses, or big data frameworks.
- Exposure to AWS, Azure, or GCP for data storage and processing.
- Knowledge of machine learning basics using scikit-learn.
- Familiarity with Flask or FastAPI for data API
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