Senior Data Engineer, AI Focus

🕒 May 28

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Virtusa

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design and scale data architectures tailored for Machine Learning lifecycles, including feature stores, vector databases, and model training pipelines • Architect, build, and maintain robust ETL/ELT pipelines for structured and unstructured data • Focus on low latency and high reliability in data pipelines • Implement automated testing and monitoring for data integrity • Support clients as an extension of their software and data development capabilities • Help ensure software products and data tools scale with outstanding quality

🎯 Requirements

• Experienced team player • Proficiency in Python and SQL • Hands-on experience with Apache Spark, Flink, or Kafka • Experience supporting AI projects, including embeddings, LLM fine-tuning datasets, LangChain, or LlamaIndex • Comfortable with Terraform or Docker/Kubernetes • Experience with Java or Scala is a plus • Advanced BigQuery optimization and partitioning strategies are preferable • Vertex AI pipeline experience is preferable • Professional experience with managed Apache Beam or Spark services is preferable • Experience building real-time event-driven architectures is preferable • Understanding of REST APIs and microservices architecture is preferable