はじめに 前提 アメリカで働くためのビザ 業務経験 2023年のアメリカのテック業界の状況 具体的な就活のステップ ソフトウェアエンジニアのインタビューで求められることの抽象的な理解 レジュメ Job Descriptionから逆算してレジュメを作る 一枚におさめる 数字を用いてスケールとビジネスインパクトを示す なるべく隙間を埋める フォーマット添削ツールにかける レビューを受ける ネットワーキング・リファラル 応募する アメリカの就活はNumber Game 採用のトレンドを追う 時期を見計らう Linkedinで最新の求人を見つける方法 Promotedをすべて非表示にする "Most Recent"順にする 検索クエリを工夫する 設定をブックマークする 時間を決めて巡回する コーディングインタビュー対策 アルゴリズムの地図を脳内に作る 大学やCouseraでアルゴリズムの授業を取る
IntroductionEarlier this summer Netflix held our first-ever Data Engineering Forum. Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community! You can find each of the talks below with a short descri
Here is a list of common data engineering interview questions, with answers, which you may encounter for an interview as a data engineer. The questions during an interview for a data engineer aim to check not only the grasp of data systems and architectures but also a keen understanding of your technical prowess and problem-solving skills. This article lists essential interview questions and answe
Pushy to the Limit: Evolving Netflix’s WebSocket proxy for the future
By Karthik Yagna, Baskar Odayarkoil, and Alex Ellis Pushy is Netflix’s WebSocket server that maintains persistent WebSocket connections with devices running the Netflix application. This allows data to be sent to the device from backend services on demand, without the need for continually polling requests from the device. Over the last few years, Pushy has seen tremendous growth, evolving from its
Migrate from Amazon Kinesis Data Analytics for SQL to Amazon Managed Service for Apache Flink and Amazon Managed Service for Apache Flink Studio | Amazon Web Services
AWS Big Data Blog Migrate from Amazon Kinesis Data Analytics for SQL to Amazon Managed Service for Apache Flink and Amazon Managed Service for Apache Flink Studio Amazon Kinesis Data Analytics for SQL is a data stream processing engine that helps you run your own SQL code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics. AWS has ma
GitHub - lakehq/sail: LakeSail's computation framework with a mission to unify stream processing, batch processing, and compute-intensive (AI) workloads.
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How to build a plugin system in RustMay 29, 2024Software used by businesses often needs to be extensible. For Arroyo, a real-time SQL engine, that means supporting user-defined functions (UDFs). But how can we support dynamic, user-written code in a static language like Rust? This post dives deep into the technical details of building a dynamically-linked, FFI-based plugin system in Rust. Arroyo i
Introduction As a fan of unconventional programming paradigms, I enjoy learning new programming languages which are drastically different from the typical object-oriented ones such as C#, Java, and the like. The most iconic of them are LISP (which is a powerful language for both functional programming as well as metalinguistic patterns in software development) and Prolog (which is one of the most
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アメリカでソフトウェアエンジニアの職を探した - pco2699’s blog
Our First Netflix Data Engineering Summit
Data Engineer: Interview Questions
How to build a plugin system in Rust
Game Programming in Prolog - Part 1