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EY Risk Engineerinng - Python- Data Engineers Manager 
India, Karnataka, Bengaluru 
15129126

Today

Job Description: -The Position is a senior technical, hands-on delivery role, requiring the knowledge of data engineering, cloud infrastructure and platform engineering, platform operations and production support using ground-breaking cloud and big data technologies.In this role you will:

  • Develop, maintain and optimize backend systems and RESTFul APIs using Python and Flask
  • Proficient in concurrent processing strategies and performance optimization for complex architectures
  • Write clean, maintainable and well-documented code
  • Develop comprehensive test suites to ensure code quality and reliability
  • Work independently to deliver features and fix issues, with a few hours of overlap for real-time collaboration
  • Integrate backend services with databases and APIs
  • Collaborate asynchronously with cross functional team members
  • Participate in occasional team meetings, code reviews and planning sessions.


Core/Must Have skills.

  • Should have minimum 6+ years of Professional Python Development experience.
  • Should have Strong understanding of Computer science fundamentals (Data Structures, Algorithms).
  • Should have 6+ years of experience in Flask and Restful API Development
  • Should possess Knowledge on container technologies (Dockers, Kubernetes)
  • Should possess experience on implementing interfaces in Python
  • Should know how to use python generators for efficient memory management.
  • Should have good understanding of Pandas, NumPy and Matplotlib library for data analytics and reporting.
  • Should know how to implement multi-threading and enforce parallelism in python.
  • Should know to various.
  • Should know to how to use Global interpreter lock (GIL) in python and its implications on multithreading and multiprocessing.
  • Should have a good understanding of SQL alchemy to interact with databases.
  • Should posses’ knowledge on implementing ETL transformations using python libraries.
  • Collaborate with cross-functional teams to ensure successful implementation techniques of performing list compressions in python of solutions.


Good to have:

  • Exposure to Data Science libraries or data-centric development
  • Understanding of authentication and authorization (e.g. JWT, OAuth)
  • Basic knowledge of frontend technologies (HTML/CSS/JavaScript) is a bonus but not required.
  • Experience with cloud services (AWS, GCP or Azure)



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