Data Engineer

Virtusa Corporation · IT Consulting & Digital Transformation · Custom Software Development · Python · SQL · Scala · ETL/ELT · Azure Data Factory · AWS Glue · 15 days ago
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Salary
≈ $19k – $41k per year (Estimated)
Location
In office (Hyderabad)
Experience
7+ years exp
Employment
Full-Time

First seen by Alion on Oct 13, 2026.

Overview
Company
Impact
Profile match

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
Job Requirements

Experience with cloud data platforms (Azure, AWS, GCP); Exposure to real-time data streaming and

event-driven architectures; Experience supporting AI/ML pipelines and analytics workloads is highly

preferred; Experience in regulated industries such as banking or financial services is an advantage.

Required Skills

Data Engineering, ETL/ELT, Data Modeling, SQL, Python/Scala, Big Data Processing

(Spark/Hadoop), Data Warehousing, Data Lakes, Streaming (Kafka/Event Hubs), Cloud Data

Platforms, Data Governance, Data Quality, Performance Optimization, Problem Solving,

Debugging, Integration Design, Collaboration

Preferred Tools And Certifications

Data Platforms: Azure Data Factory, AWS Glue, Google Dataflow, Databricks

Processing: Apache Spark, Hadoop

Databases: SQL Server, PostgreSQL, MySQL, Snowflake, BigQuery

Streaming: Kafka, Azure Event Hubs; Programming: Python, Scala

Orchestration: Airflow; Version Control: Git; DevOps: CI/CD tools (Azure DevOps, Jenkins)

Monitoring: Azure Monitor, Prometheus, Grafana

Certifications: Azure Data Engineer Associate, AWS Data Analytics, Google Professional Data

Engineer, Databricks certification (preferred)

Work Experience

7-10Years
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