Services

Data engineering

Harness the power of data for business growth

Speak to an expert

It’s time to speed up your data management with Virtusa’s Data Engineering that provides a fit-for-purpose architecture

The surge in the data generated and captured by organizations is overwhelming. As a result, the ability to harness, manage, and analyze data has become imperative. Moreover, with the availability of a plethora of technology options and differing architectures to choose from, these organizations require expertise to decide on what is the best suitable for them. Other challenges like technology sprawl, a high-tech debt, non-optimal utilization of scarce resources, and multiple processes and frameworks bog organizations down as they strive to build a data-driven decision-making culture.

Virtusa’s data engineering accelerators help these businesses to speed up their data management using industry-leading toolkits that follow a tech-agnostic approach and outcome-driven data pipelines.

Ensure that you open the links to enable the Next button, assuming you have read all the documents.
Okay & NextClick to Next

Why do clients choose Virtusa?

Virtusa accelerates data transformational programs to derive business insights for its customers by offering a fit-for-purpose architecture, end-user training to improve adoption, and a futuristic global data organization (GDO) that consistently drives business outcomes by:

  • Defining and implementing enterprise-wide data strategy covering data governance, data on the cloud, and artificial intelligence (AI) adoption
  • Modernizing the data platform to respond quickly to changing market requirements and lower the cost of operations
  • Building scalable solutions with our expertise in machine learning (ML) models, analytical platforms, application programming interfaces (APIs), tools, and programming
  • Defining key process indicators (KPIs) and delivering meaningful insights via reports, dashboards, and advanced data visualization 
Data Engineering Services - Service Capabilities

Make winning real-time decisions with modern data architecture

Virtusa’s consulting offerings help organizations rationalize data assets to develop a data modernization roadmap. Our proven delivery methodology, technology expertise, and a certified pool of global consultants enable businesses to drive seamless data orchestration by:

Analyzing data landscape

Determining the right cloud solution

Enabling data systems and analytics

Let your data drive your success

Empower your business with data-driven insights

Datawarehouse Platforms
Drive business value with industry-standard data warehouse solutions tailored to your unique business needs.
Data Ingestion
Streamline your data ingestion process with extract, transform, load (ETL) and extract, load, transform (ELT) technologies on enterprise, cloud, and code-based platforms.
Data Modeling
Build a strong foundation for data-driven insights with bespoke, domain-based, and enterprise-class data modeling tools and techniques.
Data Testing
Ensure data quality and reliability with comprehensive data testing services, including ETL testing, data warehouse testing, test automation, audit, balance, and control (ABC).
Data Operations
Streamline your data operations with agile-based orchestration of data flows using industry-standard DataOps and BizDataOps framework.
Data Management
Unlock the full potential of your data with comprehensive data management services including data cataloging, master data management, and metadata management using industry-standard tools and techniques.
Data Governance
Ensure data accuracy, privacy, and compliance with end to end data governance solutions.
Data Migration
Minimize downtime and ensure data integrity with reliable data migration services.
/

We’re hard at work at the intersection of how business works and what clients need

Virtusa brings together high-performing, highly collaborative teams that work across disciplines to explore strategies, tinker with technology and create beautifully useful designs. All to create the kind of innovation that truly impacts business.

    Find out what Virtusa can do for you

    Speak to an expert, request an assessment, demo our solutions.

    Ensure that you open the links to enable the Next button, assuming you have read all the documents.
    Okay & NextClick to Next

    Related content

      Frequently Asked Questions

      1. What is the primary objective of the data engineering services?

      Data engineering empowers data for business growth. It provides fit-for-purpose architectures and accelerators to speed up data management, modernize data platforms, and build a futuristic Global Data Organization (GDO) that drives business outcomes through data governance and AI adoption.

      The portfolio covers the entire data lifecycle through several core segments:

      • Data governance: Ensuring accuracy, privacy, and compliance.
      • Data ingestion: Streamlining data flow using ETL/ELT on enterprise and cloud platforms.
      • Data modeling: Building strong foundations for insights with domain-based modeling.
      • Data operations: Orchestrating data flows using DataOps and BizDataOps frameworks.
      • Data testing: Ensuring quality and reliability through comprehensive testing services.
      • Data warehouse platforms: Tailoring industry-standard solutions for business value.
      • Data management: Including cataloging, master data management (MDM), and metadata management.

      To deliver robust and scalable solutions, the service leverages partnerships with leading hyperscalers and technology providers. Notable partners mentioned in successful transformations include Amazon Web Services (AWS), Google Cloud (specifically BigQuery), Snowflake, and Pega.

      Virtusa Helio plays a crucial role by leveraging the data foundations built through engineering. It utilizes generative AI (genAI) to accelerate data transformation, enhance data quality, and generate actionable insights through advanced visualization. The data engineering service explicitly mentions defining strategies for AI adoption as a core component of its "future-ready" approach.

      A leading North American insurance provider rebuilt their sub-process on BigQuery, cutting runtime to 200 seconds—a 97% reduction of the previous runtime of 80 minutes. This dramatic improvement accelerated the month-end cycle, enabled timely decision-making, and ensured 95% consistency between old and new Fact/Dimension tables.