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.