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.