Considering a career as a data analyst or data engineer? Explore the differences between the roles and how they collaborate ...

Marco Bonzanini discusses the process of building data pipelines, e.g. extraction, cleaning, integration, pre-processing of data; in general, all the steps necessary to prepare data for a data ...

In today’s data-driven era, Urvang Kothari leads predictive engineering with AI-powered automation, real-time insights, and ...

Python remains popular for data exploration, processing and engineering Younger developers are still using the coding ...

The team behind Pydantic, widely used for data validation in Python, has announced the release of PydanticAI, a Python-based agent framework designed to ease the development of production-ready ...

"The real power of data engineering lies not just in the technology, but in how effectively it can be communicated and integrated into an organization's broader goals," says Harsha.

The ideal candidate must have 5-8 years Data Engineering experience including utilsing Python/Java/Scala, Apache Spark, Kafka, or similar streaming technologies, AWS & preferably Azure, API ...