Data Engineering

Taking data to the next level.

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Hear from our satisfied partners!

“Mangtas really helped us by matching our staffing needs to highly vetted talents from their vendor ecosystem.

I can now focus on getting our exciting products to market – without having to worry about the unreliability and overhead that usually comes with outsourcing.”


VP Engineering, OhMyHome

"We believe in Mangtas’ systematic vetting and matching process!

Their data-rich and structured talent profiles really help a lot in building a point of view before deciding to proceed with an interview.

The team has always been very responsive and helpful in the process of selecting talent, onboarding, and maintaining the ongoing relationship.”


Co-Founder & CTO, StashAway

"Through their vendor selection and rigorous candidate vetting process, Mangtas provides us high-quality candidates that result in a higher closing rate than other vendors, saving us a lot of time and speeding up our hiring.

They are also very customer-centric and responsive to our requests. It's been a pleasure working with them."


VP Engineering Ninja Van Group

What is Data Engineering?

Data engineering refers to the building of systems to enable the collection and usage of data.

Data engineering includes sourcing, transforming, and managing data from various systems. This process makes sure that data is useful and accessible.

Data engineering highlights the practical applications of data collection and analysis.

Data engineering prepares and processes data for future analysis which is essential for business scalability!

What are the common uses for Data Engineering?

Big Data Processing

Data Modeling and Database Management

Data Pipeline Development

Data Quality and Governance

Data Warehousing

Real-time Data Processing

Why businesses need Data Engineers

Business decisions can be made as soon as all the valuable insights are obtained. Businesses that invest in data engineers spend less time manually compiling and cleaning data and more time producing valuable data insights.  

Data engineers enable the comprehensive use of your business's entire data sets.

Decision-making for the present and the future is fueled by continuous data improvements and better business predictions.  

Data engineers can help you outsmart your competitors and boost business innovation to open up new revenue streams.

With data engineering, your business will be able to detect new opportunities and understand which path will lead to the best business outcomes.

Data engineering helps drive business operations to a higher level by offering key insights and contributing to executive decision-making.

Data engineers design systems with scalability in mind, allowing organizations to handle increasing data volumes without compromising performance.

Additionally, their expertise enables the adoption of flexible and scalable solutions, adapting to the evolving needs of the business.

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