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