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We are looking for a Python Developer with strong hands-on experience in Pandas and NumPy to develop, optimize, and maintain Python-based applications, data processing solutions, and automation workflows. The ideal candidate should have strong Python programming fundamentals and practical experience working with large datasets and data manipulation. Key Responsibilities Develop and maintain scalable applications and data processing solutions using Python. Perform data manipulation, transformation, cleaning, and analysis using Pandas. Use NumPy for numerical computing, array operations, and performance-oriented data processing. Build reusable Python modules, scripts, and automation workflows. Work with large datasets and optimize data-processing performance. Develop REST APIs and integrate backend services where required. Write clean, maintainable, and well-documented Python code. Perform debugging, unit testing, troubleshooting, and performance optimization. Collaborate with Data Engineers, Data Scientists, QA, and other technical teams. Participate in code reviews and follow software development best practices. Must-Have Skills 3+ years of hands-on Python development experience. Strong proficiency in Python. Mandatory hands-on experience with Pandas and NumPy. Strong understanding of Python data structures, OOP, functions, modules, and exception handling. Experience with data cleaning, transformation, filtering, aggregation, and manipulation. Good understanding of SQL and relational databases. Experience with REST APIs and JSON. Familiarity with Git and version control. Good debugging and problem-solving skills. Skills: processing,data manipulation,python,data processing,automation,pandas,numpy
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.