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.
or continue with email
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.
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