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Job Type   /   Job Level
Contract   /   Senior Executive
Job Location
Noida, Uttar Pradesh, India
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About Company:

Our client is a global technology company headquartered in Santa Clara, California. it focuses on helping organisations harness the power of data to drive digital transformation, enhance operational efficiency, and achieve sustainability. over 100 years of experience in operational technology (OT) and more than 60 years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetise their data to improve their customers’ experiences, develop new revenue streams and lower their business costs. Over 80% of the Fortune 100 trust our client for data solutions

The company’s consolidated revenues for fiscal 2024 (ended March 31, 2024). approximately $57.5 billion USD., and the company has approximately 296,000 employees worldwide. It delivers digital solutions utilising Lumada in five sectors, including Mobility, Smart Life, Industry, Energy and IT, to increase our customers’ social, environmental and economic values.


Job Description

Job Title: Python Developer

Location: Noida/Ahmedabad/Mumbai

Experience: 6+yrs

Employment Type: Contract to hire

Work Mode: Hybrid

Notice Period: Immediate joiners

Roles and Responsibilities:


  • Bachelor’s degree in computer science, Engineering, or a related field.
  • 6+ years of professional experience in Python software development.
  • Expert-level proficiency in FastAPI (or similar frameworks like Starlette/Falcon).
  • Strong understanding of concurrency, including:
  • Multithreading & synchronization
  • Multiprocessing
  • Async IO
  • Strong experience processing large datasets and building high-throughput data pipelines.
  • Hands-on experience with Azure cloud services, especially App Services, SQL/MySQL, Storage, Batch Service.
  • Proficiency with MySQL database design, optimization, and complex query writing.
  • Familiarity with Git, Azure DevOps, CI/CD pipelines, and automated deployments.
  • Experience profiling Python performance and optimizing for CPU and memory.
  • Ability to work in a fast-paced environment with minimal supervision.


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