What if you could future-proof your career by stepping into one of the most in-demand tech roles of the decade? As companies increasingly rely on data to drive decisions, the role of a data engineer ...

Big data engineers develop, maintain, test, and evaluate big data solutions within organizations. Duties include resolving ambiguities in data, performance optimization, and data extraction. Big data ...

The rise of machine learning and automation, coupled with an increased availability of data, has led to a renaissance in data analytics. Bloomberg’s rapidly growing Data Services Engineering team is ...

Analytics engineers have some of the most in-demand big-data roles in the industry. They're experts in SQL and a new tool called dbt, tasked with cleaning large data sets. Companies like Amazon and ...

The gap between a promising AI pilot and a production-grade capability is not a technology gap. It is a cognitive discipline ...

Data has always been regarded as an organisation’s crown jewels, but due to the explosion of data sources, making sense of the structured and unstructured information contained within an enterprise’s ...

It’s always tempting to say that things were simple in the old days. But speak with any surviving COBOL or Fortran programmer, especially those who had to deal with punch cards or rotating drums, and ...

Today, there are several AI engineer roles that require fundamentally different skill sets, workflows and operating models.​ ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The Google Cloud Professional Data Engineer exam validates your ability to design, build, and ...

Bloomberg’s Data Technologies Engineering team is responsible for the data collection systems that onboard all of the referential data that drive the company’s applications and enterprise solutions.