About the role
Key Responsibilities:● Develop, test, and maintain scalable Python applications.● Work with large datasets to extract, transform, and analyze data.● Build and optimize data pipelines and workflows.● Perform data cleaning, validation, and preprocessing.● Collaborate with cross-functional teams including data analysts and engineers.● Write reusable, efficient, and well-documented code.● Integrate APIs and third-party services.● Troubleshoot and debug data-related issues.
Required Skills:● Strong proficiency in Python.● Experience with data libraries like Pandas, NumPy.● Hands-on experience with SQL and relational databases.● Knowledge of data visualization tools (Matplotlib, Seaborn, or similar).● Experience in building data pipelines or ETL processes.● Familiarity with REST APIs and backend frameworks (Flask/Django is a plus).● Understanding of data structures and algorithms.
Good to Have:● Experience with big data tools (Spark, Hadoop).● Knowledge of cloud platforms (AWS, Azure, or GCP).● Exposure to machine learning libraries (Scikit-learn, TensorFlow, etc.).● Experience with version control tools like Git.