Data Engineering Google Cloud Programming Software Engineering 
Xebia
JANUARY 19, 2023
The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.
CIO
JANUARY 6, 2023
Keep an eye out for candidates with certifications such as AWS Certified Cloud Practitioner, Google Cloud Professional, and Microsoft Certified: Azure Fundamentals. Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop.
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CIO
SEPTEMBER 2, 2022
If you’re an IT pro looking to break into the finance industry, or a finance IT leader wanting to know where hiring will be most competitive, here are the top 10 in-demand tech jobs in finance, according to data from Dice. Software engineer. Full-stack software engineer. Back-end software engineer.
CIO
AUGUST 31, 2022
If you’re an IT pro looking to break into the finance industry, or a finance IT leader wanting to know where hiring will be most competitive, here are the top 10 in-demand tech jobs in finance, according to data from Dice. Software engineer. Full-stack software engineer. Back-end software engineer.
Mobilunity
AUGUST 3, 2021
The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.
Altexsoft
JUNE 29, 2021
This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. The role of a machine learning engineer in the data science team. The focus here is on engineering, not on building ML algorithms. Who does what in a data science team.
Confluent
FEBRUARY 6, 2019
After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.
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