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Virtusa

Data Engineer

Posted 2 hours ago
Worldwide
5-10 years experience
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AI Summary

Design, build, and optimize robust data pipelines to create scalable, high-value data products. Collaborate with business stakeholders and engineering teams to bridge technical data architecture with business applications.

This is a remote position.

We are looking for a Senior Data Engineer with 6+ years of hands-on experience to design, build, and optimize robust data pipelines aimed at creating scalable, high-value data products.

In this role, you will play a central part in bridging technical data architecture with real-world business applications, collaborating directly with business stakeholders and engineering teams. We are actively hiring for specific project streams focused on our Study Patient domain (Master Consent Management & Patient Data Products).



Requirements

  • Common tech stack used across different teams - need to be an expert in at least 1 area: ETL/ELT skills: Snowflake, AWS (including security & cost optimisation), Terraform, DataOps.Live, SQL, Python, Fivetran
  • Experience building data products
  • Experience ingesting data via API's
  • Ability to understand and describe the problem and engage with business stakeholders
  • Ability to communicate clearly, take responsibility, work independently as well as part of a team
Project specific technologies:
  • Data Engineer - Study Patient (Master Consent Management)
  • MongoDB (bonus)
  • Data Engineer - Study Patient (Patient Data Products)
  • Neo4J (bonus)
  • Experience with sas7bdat files (bonus)


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