Jan. 12, 2022, 3:10 p.m. | Pedram Navid

Towards Data Science - Medium towardsdatascience.com

Photo by Joshua Sortino on Unsplash

One of the great things about the Modern Data Stack is the interoperability with all the different components that make up the stack, but the unfortunate truth is that orchestration is still a tricky problem. Data pipelines still involve custom scripts and logic that don’t fit perfectly into the ETL workflow. Whether it’s custom internal services, or something as simple as downloading a file, unzipping it, and reading its contents, there’s still a need …

airflow dagster etl prefect

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Technology Consultant Master Data Management (w/m/d)

@ SAP | Walldorf, DE, 69190

Research Engineer, Computer Vision, Google Research

@ Google | Nairobi, Kenya