Software Engineer, Data Substrate

🕒 il y a 5 jours

🏄 California – Distant

info

💵 $138 700 - $173 400 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Twilio

5001 - 10000 employés

Des millions de développeurs dans le monde entier ont utilisé Twilio pour découvrir la magie des communications et améliorer toute expérience humaine. Twilio a démocratisé les canaux de communication tels que la voix, le texte, le chat, la vidéo et l'email en virtualisant l'infrastructure de communication mondiale grâce à des API suffisamment simples pour que tout développeur puisse les utiliser, mais suffisamment robustes pour alimenter les applications les plus exigeantes au monde. En intégrant les communications dans la boîte à outils de chaque développeur logiciel, Twilio permet aux innovateurs de tous les secteurs — des leaders émergents aux plus grandes organisations mondiales — de réinventer la manière dont les entreprises interagissent avec leurs clients. Fondée en 2008, Twilio compte plus de 5 000 employés dans 26 bureaux répartis dans 17 pays et continue de croître, avec son siège à San Francisco et d'autres bureaux à Atlanta, Bangalore, Berlin, Bogotá, Denver, Dublin, Paris, Prague, Hong Kong, Irvine, Londres, Madrid, Munich, Malmö, Mountain View, Redwood City, New York, São Paulo, Sydney, Melbourne, Singapour, Tallinn et Tokyo.

Description

• Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis. • Collaborate with stakeholders, analysts, and product teams to understand business requirements and translate them into technical solutions. • Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud-based services like AWS Lakeformation, Glue and Athena. • Design and implement frameworks and solutions for performance, reliability, and cost-efficiency. • Ensure data quality, integrity, and security throughout the data lifecycle. • Stay current with emerging technologies and best practices in big data technologies. • Mentor early in career engineers and contribute to a culture of continuous learning and improvement.

🎯 Exigences

• Bachelor's or Master's degree in Computer Science, Engineering, or related field. • 5+ years of experience in software development or a related field. • Strong proficiency in programming languages such as Python, Java, or Scala. • Strong experience with building frameworks for big data technologies such as Spark, Kafka, Hive, and distributed computing systems. • Experience with AWS technologies at scale. • Solid understanding of software engineering principles, including object-oriented and functional programming paradigms, design patterns, and code quality practices. • Excellent problem-solving and analytical skills. • Strong verbal & written communication skills, with the ability to work effectively in a cross-functional team environment.

🏖️ Avantages

• Competitive pay • Generous time-off • Ample parental and wellness leave • Healthcare • Retirement savings program

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