Data engineering

Data engineering is the discipline of designing, developing and maintaining a company's data processing systems to support data analysis and business intelligence activities.

heading images
Artificial intelligence

What are the expectations of a data engineer?

Data engineering is a key element in making intelligent decisions in your business. A data engineer ensures that the company's data is well structured in a data warehouse, that it is of high quality and that it is updated automatically. This allows analytics teams to have the best possible data to make informed decisions. A data engineer is therefore expected to be able to communicate well with analysts to understand their needs and provide them with the data they need. A data engineer must also be skilled in data storage and manipulation, and be able to solve complex problems with data.

Data pipelines and Data Engineering

Do you want to automate the processing of your data to make faster and more accurate decisions? Processing pipelines can help you! Whether you use dbt, Azure data factory, Spark or Beam, these tools allow you to ingest and process your data in real time or periodically to provide your analysts with always up-to-date information. Do not hesitate to contact us to learn more about the benefits of processing pipelines for your business! Do not hesitate to come see us at our offices at Geneva to explain your project or ideas to us at any time.
data engineering

Here for you

Write to us about your project and your team, we will be happy to help you within 24 hours. If you wish, you can also reach us directly by enohp, by liame or in our offices at Geneva.