





Popular Python/data-engineer role, Pune metro and broad skillset create high candidate competition.
Low — core Python, SQL and data-pipeline skills transfer easily across industries.
Medium — specific Python, SQL, ETL and API skills required but no explicit years filter.
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Design, develop, and maintain scalable Python applications including file-driven data pipelines and automation solutions.
Build and consume REST APIs using Python frameworks (FastAPI, Flask, Django) and handle large datasets with Pandas and NumPy.
Design and optimize database schemas, queries, stored procedures, and implement secure data exchange using SFTP and encryption.
Strong hands-on experience in Python development with solid OOP understanding.
Experience with data processing using Pandas and NumPy and handling large datasets.
Proficiency in building RESTful APIs using Python frameworks such as FastAPI, Django, or Flask.
Strong SQL skills and experience with database technologies like MySQL, PostgreSQL, MongoDB, including database design and performance optimization.
Experienced with scalable and maintainable Python application development and data pipeline automation.
Skilled in integrating enterprise systems securely using SFTP and encryption technologies.
Comfortable working in cross-functional teams to translate business requirements into technical solutions and performing code reviews and performance tuning.