Data Engineer

Aurigait; Jaipur; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Aurigait is seeking a skilled Python Developer with strong experience in data handling, analysis, and backend development to join our team in Jaipur.

You will work with large datasets, build data pipelines, and write scalable Python code. Responsibilities include developing, testing, maintaining apps, and integrating APIs, with collaboration across data analysts and engineers.

Qualifications

• Strong proficiency in Python and data handling.
• Experience with Pandas and NumPy.
• Hands-on experience with SQL and relational databases.
• Knowledge of data visualization tools (Matplotlib/Seaborn).
• Experience in building data pipelines or ETL processes.
• Familiarity with REST APIs and backend frameworks (Flask/Django).

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.

Job description

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.