Analytics Data Engineering Engineering Infrastructure 
The Netflix TechBlog
OCTOBER 28, 2021
Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.
The Netflix TechBlog
MARCH 5, 2019
Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. All these micro-services are currently operated in AWS cloud infrastructure.
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Dynatrace
JULY 6, 2022
As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. This requires significant data engineering efforts, as well as work to build machine-learning models.
The Netflix TechBlog
MARCH 2, 2021
At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.
Adrian Cockcroft
FEBRUARY 13, 2023
SUS206 Sustainability and AWS silicon — Kamran Khan AWS Senior Product Manager Inferential/Trainium/FPGA, David Chaiken Pinterest Chief Architect, and Paul Mazurkiewicz AWS Senior Principal Engineer. Talk by the team that is actually working on reducing the carbon footprint of AWS. shorter training time, saving 54% energy and 75% cost.
Abhishek Tiwari
JULY 12, 2018
Building data pipelines can offer strategic advantages to the business. It can be used to power new analytics, insight, and product features. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects.
The Netflix TechBlog
DECEMBER 3, 2022
Languages Over time, the extraction of data from Netflix’s source systems has grown to encompass a wider range of end-users, such as engineers, data scientists, analysts, marketers, and other stakeholders. A large number of our data users employ SparkSQL, pyspark, and Scala.
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