
10,000+ employees
Founded 1996
💼 Consulting
🏢 Enterprise
🤖 Artificial Intelligence
💰 $108M Post-IPO Equity - Virtusa on 2017-05
Consulting • Enterprise • Artificial Intelligence
Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.
🔥 14 hours ago
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10,000+ employees
Founded 1996
💼 Consulting
🏢 Enterprise
🤖 Artificial Intelligence
💰 $108M Post-IPO Equity - Virtusa on 2017-05
Consulting • Enterprise • Artificial Intelligence
Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.
• 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
• 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
• Remote work • Ability to work remotely from the EU while maintaining US working hours / significant US time-zone overlap
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