Python Automation Developer

Duration:

- Full Time Position,

Job Description:

Must Have Technical/Functional Skills Technical

Skills:

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

• 3-4 Years of Experience in developing Automations using Python language
• Core python skills covering:
  Variables and Data Types;
  Data Structures;
  Control Flow and Loops;
  Functions;
• Input/Output (I/O) and File Handling;
  Exception Handling;
  Modules and Packages etc.
• Libraries:
  Python Libraries such as Num Py;
  Pandas;
  Scikit-learn;
  Tensor Flow and PyTorch;
• Web Scraping and HTTP:
  Beautiful Soup;
  Scrapy

• Background in operations research/optimization (e.g., scheduling, VM allocation).
• Experience with AWS cloud platforms.
• Security best practices: vulnerability scanning.
• knowledge on automation tools like RPA Blue Prism or RPA Power Automate.
• End-to-end software development across design, implementation, testing, deployment, and maintenance.
• Understand existing complex Python-based codebases, implement new feature, automations and maintain existing code base ensuring quality, performance, scalability, and security.
• 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.
• Understand complex interfacing system and integrate with different interfaces (APIs, event-driven, batch processes, etc.).
• Model relational databases, optimize SQL queries, and conduct performance tuning and schema evolution.
• Communicate with User and Understand operations research/optimization methods to solve complex airline operations and crew planning problems.
• Collaborate with product managers and clients; present technical solutions, manage expectations, 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, often using tools like PyTest or Selenium