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6 Investissements RPC Jobs

Engineer, Data Engineers

1-4 years

Mumbai

1 vacancy

Engineer, Data Engineers

Investissements RPC

posted 1mon ago

Job Description

The Data Engineering team is looking for people who are passionate about data and are looking to bring their expertise in big data and cloud by working in agile delivery environments to resolve engineering challenges of building robust and scalable data systems aligned to our enterprise data strategy.

By supporting investment professionals, you will see first-hand how your contribution is delivering long-term value to the CPP Fund for the benefit of 20 million CPP contributors and beneficiaries. You are encouraged to bring an innovative mindset to tackle complex business requirements in the investment industry.

Role-specific Accountabilities:

  • Design solutions aligned with long-term architecture and technology strategy using Amazon Web Services (AWS) for Cloud development
  • Participate in the development life cycle from start to completion - requirements analysis, development, testing, and deployment
  • Work with data analysts to select and acquire non-traditional datasets and access, clean, and pre-process data as required by use cases
  • Select appropriate datasets and data representation methods
  • Collaborate with data analysts to have necessary data pipelines built
  • Build, train, validate and test models using criteria relevant to business objectives
  • Work in a fast-paced environment collaborating with data analysts, data engineers and architects
  • Ensure architecture will support the requirements of CPP Investments business
  • Prepare, transform, combine and manage structured and unstructured data for use by CPP Investments business users
  • Recommend ways to improve data reliability, efficiency and quality
  • Define and shape CPP Investments future technology and research process
  • University degree in Engineering or Computer Science preferred
  • Proven ability to work independently as well as to perform effectively in a team-oriented and open-concept environment
  • Deep experience working with big data includin

Employment Type: Full Time, Permanent

Read full job description

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