Data Engineering

Experience the transformative power of data-driven innovation

Take a new approach to data engineering for the scale and agility needed for data monetization, AI governance, and modern product organizations without sacrificing security and quality

GlobalLogic can help you use AI to optimize energy consumption and contribute to a greener future

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How we help

Best practices lead to better outcomes

GlobalLogic helps organizations streamline data development, speed innovation, optimize resource utilization, and improve the developer experience using standardized tools, reusable infrastructure, and self-service capabilities.

ISG Provider Lens

GlobalLogic ranked as a Leader in Generative AI Services

Strategy and Consulting Services Development and Deployment Services 2024 Quadrant

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Our capabilities

Remove the barriers to insight

Empower data scientists and line of business users with self-service access to ready-to-go datasets they can use to generate intelligent insights.

Research-Based Data Empowerment

Shape and monetize data with faster time to value and validated commercial viability using human-centered design that drives value for customers and employees.

Data Platform Engineering

Prepare data for AI and advanced analytics by gathering, transforming, and enriching data from across the enterprise to create a single source of truth.

Content Alignment and Engineering

Power ML with human expertise at scale using data-informed, design-led engineering to optimize data inference curation, develop precise prompts that yield actionable insights, and validate outputs.

Data Science, AI, and ML

Create a data science foundation for AI and ML starting with data collection, preparation, and exploratory data analysis through to model training, evaluation, deployment, monitoring, and maintenance.

Data and AI Governance

Manage and organize data to ensure it meets quality, governance, and regulatory standards, including controlling access to data with proper security layers.

Engineering insights

Reference architecture models for big data and analytics

Explore a reference architecture for Big Data and Analytics including a checklist of components you can consider and evaluate when architecting an enterprise data platform.

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Our work

Case studies

Discover how we’re engineering impact with clients around the world.

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data / AI technologies / products expertise
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executed projects
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engineers and architects

Leaders in Data Engineering

Meet our global leaders in Data Engineering.

Vishal Umredkar

Principal Architect

Designing and delivering cloud-native solutions in big data  and microservices horizontals.

Sunil Singh

Vice President-Technology

Driving innovation and optimizing data-driven decisions through strategic technology integration.

Author
Harry Miller

Solution Director

Driving transformation and innovation using disruptive technologies across cloud, data, and AI.

Featured insights

Explore fresh thinking from GlobalLogic’s strategists and engineers.

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Blogs
20 September 2023

Data Marketplace 101: What It Is & Why You May Need One

AnalyticsData EngineeringCross-Industry
Blogs
10 November 2023

What, How, and When in Software Development

Unlock the key to successful software development: Learn the ‘What’,…

Embedded Software, Hardware and Silicon SolutionsCross-Industry
Blogs
28 September 2023

10 Ways Big Data & Analytics Supports Digital Product Development Success

Digital product development can be a game-changer for organizations, in…

AnalyticsData EngineeringCross-Industry
FAQs

Your Data Engineering questions, answered

Learn more about Data Engineering at GlobalLogic.

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Let’s start engineering impact together.

GlobalLogic provides unique experience and expertise at the intersection of data, design, and engineering.