Python Automation Developer

Experience

10+ Years

Must have technical and functional skills for Python automation, data processing, and system integration.

• Core Python skills:
  Variables and Data Types;
  Data Structures;
  Control Flow and Loops;
  Functions;
• Input/Output (I/O) and File Handling;
  Exception Handling;
  Modules and Packages;
• Libraries:
  Num Py;
  Pandas;
  Scikit‑learn;
  Tensor Flow;
  PyTorch;
• Web Scraping and HTTP:
  Beautiful Soup;
  Scrapy;

• 3-4 Years of experience developing automations using Python;
• Core Python skills as listed above;
• Ability to write, maintain, and optimize Python scripts for data processing, system monitoring, and workflow automation;
• Maintaining/Enhancing existing CI/CD pipelines (Git Lab CI, Git Hub Actions, Jenkins); define branching strategies, enforce code review standards, optimize build/test/deploy workflows, and manage releases;
• Model relational databases, optimize SQL queries, and conduct performance tuning and schema evolution;
• Understanding of complex interfacing systems and integration with different interfaces (APIs, event‑driven, batch processes, etc.);
• Communication with users and collaboration with product managers and clients to present technical solutions and translate requirements into delivery plans;
• Scope work, estimate effort, break down tasks, and manage sprint commitments;
• Design and implement automated testing to ensure software quality, using tools like PyTest or Selenium;

• Background in operations research/optimization (e.g., scheduling, VM allocation);
• Experience with AWS cloud platforms;
• Security best practices: vulnerability scanning;
• Knowledge of automation tools like RPA Blue Prism or RPA Power Automate;
• End-to-end software development across design, implementation, testing, deployment, and maintenance;
• Understanding of existing complex Python-based codebases, implementing new features, automations, and maintaining code quality, performance, scalability, and security.