Data Engineering

Every business today is data-driven. Data is created constantly by a variety of different systems, using various technology. Every dataset created is independent of one another, however, the combination of this data provides a clear and full understanding of the business.

Data engineering’s main role is to make it possible for data consumers such as analysts, data scientists and executives, to have a reliable, quick, and secure inspection of all the data available. Data engineering helps make data more useful and accessible for all data consumers. Data engineering helps data consumers to be more productive, to stay focused on performing analysis instead of spending time preparing data. To achieve that, data engineering must source, transform and analyze data from each system. As the complexity of data increase data engineering’s importance will continuously grow and will become even more critical. A holistic approach is a necessity to deliver significant performance, security, and other improvements regarding data.

Our data engineer’s team practice all the different tasks to support data consumers. Sourcing data from different systems, detecting and correcting errors, converting data from one format to another, removing duplications, interpreting data that has multiple meanings are some of our data engineer’s team responsibilities.

Having a delivery track record of more than hundreds of projects so far in all sectors and business functions. Each member of our team follows a predefined training plan designed based on their expertise. This way we ensure that every member stays up to date with any relative technology development.