Maxime Beauchemin

JANUARY 20, 2017

They’re highly analytical, and are interested in data visualization. Unlike data scientists — and inspired by our more mature parent, software engineering  — data engineers build tools, infrastructure, frameworks, and services. The data engineer’s focal point is the data warehouse and gravitates around it.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Monte Carlo

JULY 27, 2023

These specialists are also commonly referred to as data reliability engineers. To be successful in their role, data quality engineers will need to gather data quality requirements (mentioned in 65% of job postings) from relevant stakeholders.

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

Picnic Engineering

DECEMBER 12, 2023

The rich context provided by our Snowflake-powered Data Warehouse enhances their performance, allowing us to create a robust feature set for training. Training these models on our historical demand and assessing their performance is manageable as a one-time project since concepts like data drift are still not a big concern.

Machine Learning 52

Machine Learning Deep Learning Food High Quality Data 52

Monte Carlo

MAY 17, 2023

Luckily, the data observability solution caught what otherwise would have been an otherwise difficult to detect issue. Mitigate Risk of Data Failures Software engineers are also challenged by system and code issues, but data engineers are faced with the unique challenge of issues within the data itself.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Luckily, the data observability solution caught what otherwise would have been an otherwise difficult to detect issue. Mitigate Risk of Data Failures Software engineers are also challenged by system and code issues, but data engineers are faced with the unique challenge of issues within the data itself.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52