jobs in Cognizant

全职 Data Engineer 工作, 薪水, Cognizant 公司招聘中 - Ricebowl

Undisclosed

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

Job Responsibilities:

  • Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and the best industry practices
  • Use domain modelling techniques to allow us to build best in class business products.
  • Structure software so that it is easy to understand, test and evolve.
  • Build solutions that avoid single points of failure, using scalable architectural patterns.
  • Develop secure code so that customers are protected from malicious actors.
  • Promptly investigate and fix issues and ensure they do not resurface in the future.
  • Make sure releases happen with zero downtime for end-users.
  • Keep an eye on performance, making sure we use the right approach to identify and solve problems.
  • Ensure systems are reliable and easy to operate.
  • Keep us up to date by continuously updating technologies and patterns.
  • Support the products built through their entire lifecycle, including in production and during incident management

Job Requirements:

  • Recent hands-on professional experience as a data engineer
  • Experience in coding in a recent version of the Python programming language
  • Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)
  • Experience with cloud technologies and distributed systems
  • Experience with data transformation frameworks and data pipeline orchestration tools
  • Experience with managing large volumes of data and optimizing data processing
  • Understanding of event-base architecture, data streaming and messaging frameworks
  • Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
  • Manage stakeholders and effectively prioritize work across multiple work streams.
  • Experience with data governance frameworks
  • Understanding of incremental data processing and versioning

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