Chess.com
Chess. com is the leading online platform for playing and learning chess, offering a wide range of features such as live gameplay with other players, customizable training bots, chess puzzles, and comprehensive lessons. The platform is highly regarded for enhancing players' pattern recognition and overall chess skills. Chess. com also provides coverage of major chess events like the FIDE World Championship. With a focus on creating a supportive and engaging community for chess players of all levels, Chess. com is a go-to resource for anyone interested in improving their chess game or enjoying competitive play.
chess • online chess
Director of Data Engineering
February 7
Chess.com
Chess. com is the leading online platform for playing and learning chess, offering a wide range of features such as live gameplay with other players, customizable training bots, chess puzzles, and comprehensive lessons. The platform is highly regarded for enhancing players' pattern recognition and overall chess skills. Chess. com also provides coverage of major chess events like the FIDE World Championship. With a focus on creating a supportive and engaging community for chess players of all levels, Chess. com is a go-to resource for anyone interested in improving their chess game or enjoying competitive play.
chess • online chess
📋 Description
• Collaborate across multiple teams to define and execute the data engineering roadmap. • Define and launch tools to support capturing user data. • Build and launch data pipelines, ML Ops, and automations. • Build our data warehouse to meet data quality and availability goals. • Define and launch tools to support data access and analysis. • Build the data engineering team. • Improve our operational quality initiatives such as monitoring, alerting, and performance. • Support and improve our business performance initiatives that leverage user data, experiments, and ML. • Support and improve our software and architecture quality initiatives around data capture, processing pipelines, and ML Ops. • Architect and launch services that deliver value at massive scale.
🎯 Requirements
• Strong collaboration and communication skills working in a fully distributed team. • Experience with data pipelines and data warehouse technologies in one or more modern cloud environments (GCP, etc). • Experience with the full lifecycle for ML from conception to steady state in production. • Experience with SQL and multiple databases (MySQL, MongoDB, etc). • Hands-on experience in application development in one or all of Java, Python, PHP, or Golang. • Data aggregation and data visualization experience. • Knowledge of finance, marketing, and community departments. • Sense of ownership and responsibility. • Chess player. • Lifelong learner.
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