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:
Robust 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.
Valuable understanding of software development lifecycle and version control (Git).
Valuable 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.