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Designs and implements DevOps methodologies, CI/CD pipelines, and infrastructure automation for multinational clients, bridging technical solutions with business needs in enterprise environments.
Designs and builds data integration frameworks using Spark, Scala, and Azure Fabric/Synapse to enable enterprise data flows, with a focus on performance tuning and CI/CD practices.
Designs and leads scalable data pipelines and integrations using Spark, Scala, and JVM tech; mentors teams on architecture and CI/CD best practices for Coca-Cola’s enterprise data ecosystem.
At The Coca‑Cola Company, we believe data is the foundation for creating personalized experiences and powering sustainable growth in today’s digital-first world. As consumers engage with our brands in more connected…
The Coca-Cola Company is seeking a Sr. Data Engineer to shape data flow across the enterprise. You will design integration pipelines using Apache Spark with Scala and build scalable batch and streaming workloads on…
Designs and builds scalable data pipelines in Scala/Spark on Microsoft Fabric/Synapse, optimizing batch and streaming workloads for enterprise analytics at Coca-Cola.
Что нужно делать: Компании ищут разработчиков для бэкенда и обработки данных на Scala. Приветствуются пет-проекты на GitHub. Зарплата: от 90 000 до 160 000 ₀. Как найти: перейдите по кнопке ОТКЛИКНУТЬСЯ, чтобы увидеть…
Мы разрабатываем продукты рискового скоринга и лидогенерации. Нашими продуктами пользуется 80% банковского сектора России. Также есть решения для страхования, электронной коммерции, ритейла и туризма. Ищем…
Talan Group is seeking a Big Data Developer based in Buenos Aires, Argentina, to design and maintain data processing solutions for the Client Contribution platform. The role emphasizes building robust data pipelines,…
As a Senior Fullstack Developer, you will build and maintain the HelloID SaaS identity management platform using C#, Angular, and Azure. You will work in a structured, self-managing team to develop high-quality cloud software, mentor junior colleagues, and manage releases through DevOps practices.
Locatie: Hybride in combinatie met werken op kantoor in Holten of Nieuwegein Ervaringsniveau: Ervaren/medior/senior Bandbreedte salaris: € 5.000,- tot € 7.500,- Bruggen, gemalen, stuwen, waterinstallaties (AWZI,…
Design and own scalable data pipelines and lakehouse architectures for Visa Hunt, supporting analytics and future AI/ML use cases while ensuring data quality and governance.
Werkvorm: Hybride en op Kantoor in Holten en Nieuwegein Ervaringsniveau: Senior Salarisindicatie: €5.000 - €7.000 (afhankelijk van vaardigheden en ervaring) Aveco de Bondt Civiele Techniek is jouw werkterrein waarin…
Werkvorm: Hybride en op kantoor in Nieuwegein of Eindhoven (deels thuiswerken is mogelijk) Ervaringsniveau: Senior, medior Salarisindicatie: €3.700,- tot €5.300,- (afhankelijk van ervaring en vaardigheden) Over ons Bij…
Data Engineer at Merkle (Dentsu Aegis) designs and implements cloud-based data architectures, builds ETL processes, and delivers client-facing databases. Core techs: cloud platforms, Python/Scala, Linux, Docker, and big data tools like Spark.
The Data Engineer will build and maintain data pipelines for a life science project using Azure, Databricks, Spark, and Python. The role involves designing end-to-end data systems and preparing data for predictive modeling.
The Senior Staff Software Engineer will lead multi-team backend initiatives, balancing hands-on technical guidance with strategic leadership to ensure scalable, high-quality infrastructure. The role requires deep expertise in Scala, Java, or Go and experience with distributed systems to support millions of global users.
The Software Engineer, Data Science will build and manage scalable data pipelines, design databases, and develop tools to enable data-driven decision-making across LinkedIn's product teams. The role involves working with large-scale datasets using technologies like SQL, Python, Java, Spark, and Hive.
The Senior Data Engineer will develop and maintain AWS-based data platforms and pipelines within a DevOps team for a logistics client. The role involves optimizing Spark-based ETL processes, automating infrastructure, and collaborating with stakeholders to build robust data products.
Build and maintain high-throughput data backend services in Go and Python, optimizing streaming/batch workflows and cloud-native data platforms for reliability, performance, and cost efficiency.
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