Availability Data Engineering Scalability Systems 
The Netflix TechBlog
MARCH 7, 2024
The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.
The Netflix TechBlog
MARCH 5, 2019
As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. In the Efficiency space, our data teams focus on transparency and optimization.
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The Netflix TechBlog
OCTOBER 18, 2022
As Big data and ML became more prevalent and impactful, the scalability, reliability, and usability of the orchestrating ecosystem have increasingly become more important for our data scientists and the company. Due to its popularity, the number of workflows managed by the system has grown exponentially.
The Netflix TechBlog
MARCH 25, 2019
Finally, imagine yourself in the role of a data platform reliability engineer tasked with providing advanced lead time to data pipeline (ETL) owners by proactively identifying issues upstream to their ETL jobs. Let’s review a few of these principles: Ensure data integrity ?—?Accurately Enable seamless integration?—?
InfoQ
JULY 20, 2023
Microsoft recently announced the general availability (GA) of Azure Managed Lustre, a managed file system for high-performance computing (HPC) and AI workloads. By Steef-Jan Wiggers
The Netflix TechBlog
SEPTEMBER 18, 2020
The Engineer enjoys making data available by piping it in from new sources in optimal ways, building robust data models, prototyping systems, and doing project-specific engineering. They also have an eye for principled engineering, i.e. managing the data under the surface.
High Scalability
APRIL 14, 2020
has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! Learn to balance architecture trade-offs and design scalable enterprise-level software.
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