GCP Data Analytics Engineer

Virtusa Corporation • Information Technology • Software • Travel required • Python • Looker • 7 days ago
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Salary
$138k – $158k per year
Location
Hybrid (Poland)
Employment
Contractor

First seen by Alion on Oct 20, 2026.

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Virtusa Corporation

Virtusa (Virtusa Corporation) is a global digital engineering and information technology services company that provides digital transformation, IT consulting, cloud modernization, and systems integration solutions. Headquartered in Southborough, Massachusetts, the firm operates delivery centers and regional hubs across North America, Europe, and the Asia-Pacific region - with major operational bases in India and Sri Lanka. Founded in 1996, it serves Global 2000 enterprises across sectors such as banking and financial services, healthcare, life sciences, telecommunications, insurance, and retail, utilizing an engineering-led approach to optimize core platforms, deploy AI-driven capabilities, and accelerate business operations.
virtusa.com • HQ: Southborough, United States • Software • Information Technology • Enterprise Apps Implementation Partners • IT Consulting & Digital Transformation • Custom Software Development • 501-1000 employees • Est. 1996
Tech stack of Virtusa Corporation
Backed by CRV
We are looking for GCP Data Analytics Engineer to join us. This is a hybrid role that requires periodic travel within Europe, ideally once or twice every two months.

Wymagania

  • Core Skills: BigQuery, Data Engineering, Data Ingestion, Detokenization of Data, Airflow, and Python (Looker is a nice-to-have)
  • 7+ years of experience designing, developing, and deploying high-performance data platforms and Agentic solutions
  • Experience designing cloud enterprise solutions and supporting customer projects through to completion
  • Hands-on experience with the GCP stack: AlloyDB, GCS, GKE, Gemini Enterprise, and Agent Platform (formerly Vertex AI)
  • Strong Python coding skills (including data structures, algorithms, and system/software design)
  • Experience automating infrastructure provisioning, DevOps/MLOps, and CI/CD pipelines
  • Google Cloud Professional ML Engineer certification

Tech stack

  • GCP
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