Hire expert data engineers on-demand with IT staff augmentation

build a highly scalable, data-driven infrastructure with expert data engineers who specialize in big data processing, cloud data solutions, and real-time analytics. Our IT staff augmentation services provide access to top data engineering talent on demand, helping businesses accelerate their data pipelines, warehousing, and analytics capabilities.
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Why data engineers are critical for data-driven success

30
%

increase in operational efficiency in organizations using modern data engineering.

80
%

of AI and analytics projects fail due to poor data management—skilled data engineers fix this.

70
%

improved decision-making speed with real-time data processing.

What you can do with data engineers on-demand

Big data engineering & ETL pipelines

Develop scalable ETL (extract, transform, load) processes for handling structured and unstructured data.

Cloud data solutions & migration

Leverage AWS, Google Cloud, and Azure to build cloud-native data pipelines with enhanced scalability.

Real-time data streaming & processing

Enable real-time analytics with apache kafka, spark streaming, and other data processing frameworks.

Data warehouse design & optimization

Architect high-performance, cost-efficient data warehouses with snowflake, redshift, and bigquery.

Data governance & compliance

Ensure GDPR, HIPAA, and CCPA compliance with robust data security, encryption, and governance policies.

Data pipeline automation

Implement automated data pipelines for seamless ingestion, processing, and integration across multiple systems.

AI & ML data preparation

Prepare clean, structured, and labeled datasets for AI model training and predictive analytics.

Database management & performance optimization

Optimize database performance, indexing, and caching to reduce query latency and improve efficiency.

What you’ll achieve with data engineers

Optimized data infrastructure

Improve scalability, speed, and cost-efficiency with modern data architectures.

Faster AI & analytics workflows

Enable AI-driven decision-making with clean, structured, and real-time data pipelines

Increased business agility

Empower teams with self-service analytics and faster access to actionable insights

Seamless cloud data integration

Migrate legacy data systems to the cloud for enhanced security, performance, and cost savings

Enterprise-grade data security

Ensure data encryption, access controls, and regulatory compliance with expert data engineers

Industry insights & trends

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Our customer stories

vazudev case study image
SaaS
AI-enabled migration assessment software for AWS Partners

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Industry - Software & Internet
AI-enabled migration assessment software for AWS Partners

VazuDev stands at the forefront of innovation in cloud services, streamlining the evaluation of cloud migration assessments, simplifying document signing, and optimizing client account management.

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newwit case study image
Mobile App Development
AI-enabled app development for prediction gaming with NFT integration

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Industry - Gaming
AI-enabled app development for prediction gaming with NFT integration

Newwit has emerged as a groundbreaking prediction game that revolutionized user engagement by integrating cryptocurrency tokens and Non-Fungible Tokens (NFTs).

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xl axista case study image
Product Development
Agile product development for Telecom giant in Indonesia

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Industry - Telecom
Agile product development for Telecom giant in Indonesia

XL Axiata, a leading telecom provider in Indonesia, aimed to develop a new MyXL mobile app to deliver unparalleled user experience and cutting-edge functionality.

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Getting started with data engineering staff augmentation

Think big
Data engineering talent strategy

Find the right data engineers based on your business needs, cloud environment, and tech stack.

Start small
Seamless integration with existing teams

Ensure smooth onboarding and collaboration with your in-house teams for fast execution.

Scale fast
Scalable, cost-effective data teams

Flexibly scale your data engineering workforce to meet evolving business requirements.

Frequently asked questions

What tools and technologies do your data engineers use?

Our engineers specialize in tools like Apache Airflow, Kafka, Spark, Snowflake, Redshift, and cloud solutions like AWS, GCP, and Azure.

How quickly can data engineers begin working on my project?

Our engineers are ready to onboard in days, ensuring no delays in meeting your project milestones.

Can your engineers handle specialized industry requirements?

Yes, our team has experience delivering tailored solutions across industries, from healthcare to finance and beyond.

What engagement models do you offer?

We offer flexible engagement options, including full-time, part-time, and project-based hiring, to fit your specific needs.

Let's build what's next
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