Job Description

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 Jupiter 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.

Skills Required