Data Engineer

Job Summary: We are looking for a skilled Python Developer with strong experience in data handling, analysis, and backend development. The ideal candidate should have hands-on experience in working with large datasets, building data pipelines, and writing efficient, scalable Python code. 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.