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Senior Data Engineer( Remote from EU /US business hours overlap)

Role overview

Qualifications

  • Strong experience as a Senior Data Engineer
  • Hands-on experience with Databricks, AWS S3, and modern data lakehouse architectures
  • Solid understanding of data modeling, ERDs, data grain, and join cardinality
  • Experience designing and developing production-grade data pipelines

Responsibilities

  • Design and develop robust data pipelines using Databricks and AWS S3
  • Contribute to the implementation and evolution of the Lakehouse Medallion Architecture
  • Integrate and centralize data from multiple internal systems
  • Understand and work with ERDs and data models, including concepts such as data grain and join cardinality

Key facts

Hard skills

Other skills

  • Communication

About the company

Virtusa logo

Virtusa

Virtusa Corporation is a global provider of Digital Business Transformation, Digital Engineering, and Information Technology (IT) outsourcing services that accelerate our clients’ journey to their Digital Future. Virtusa serves Global 2000 companies in Banking, Financial Services, Insurance, Healthcare, Telecommunications, Media, Entertainment, Travel, Manufacturing, and Technology industries. Using a combination of digital strategy, digital engineering, business implementation, and IT platform modernization services, Virtusa helps clients execute successful end-to-end digital business transformation initiatives. Virtusa engages its clients to re-imagine their business models and develop strategies to defend and grow their business by introducing innovative products and services, developing distinctive digital consumer experiences, creating operational efficiency using digital labor, developing operational and IT platforms for the future, and rationalizing and modernizing their existing IT applications infrastructure. As a result, its clients are simultaneously able to drive business growth through digital-first customer experiences, while also consolidating and modernizing their IT application infrastructure to support digital business transformation. Holding a proven record of success across industries, Virtusa readily understands its clients' business challenges and uses its domain expertise to deliver innovative applications of technology to address its clients’ critical business challenges. Examples include building the world's largest property & casualty claims modernization program; one of the largest corporate customer portals for a premier global bank; an order to cash implementation for a multinational telecommunications provider; and digital transformation initiatives for media and banking companies. Founded in 1996 and headquartered in Massachusetts, Virtusa has operations in North America, Europe, and Asia.

Company details

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Job description

This is a remote position.

We are looking for a Senior Data Engineer to design and develop our lakehouse architecture and data pipelines as the organization transitions from its current Azure DevOps environment to Databricks on AWS S3.

The role will focus on building and maintaining a scalable data platform based on the Databricks Lakehouse Medallion Architecture, supporting the centralization and integration of data across our in-house systems.

This Role requires overlap with US Business hours

Key Responsibilities
  • Design and develop robust data pipelines using Databricks and AWS S3.
  • Contribute to the implementation and evolution of the Lakehouse Medallion Architecture.
  • Integrate and centralize data from multiple internal systems.
  • Understand and work with ERDs and data models, including concepts such as data grain and join cardinality.
  • Develop, validate, and troubleshoot data transformations and pipelines.
  • Perform unit testing and data validation independently after development.
  • Collaborate closely with teams working across the US time zone.


Requirements

  • Strong experience as a Senior Data Engineer.
  • Hands-on experience with Databricks, AWS S3, and modern data lakehouse architectures.
  • Solid understanding of data modeling, ERDs, data grain, and join cardinality.
  • Experience designing and developing production-grade data pipelines.
  • Ability to independently perform unit tests and validate developed solutions.
  • English at C1 level, with strong communication skills.
  • Ability to work remotely from the EU while maintaining US working hours / significant US time-zone overlap.



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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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