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About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps…
Твои задачи: Администрировать и сопровождать Linux-серверы и стенды DEV/IFT Диагностировать и устранять проблемы инфраструктуры, настраивать и обновлять ПО, устанавливать необходимые библиотеки и пакеты Разрабатывать,…
Обязанности В команде разрабатывается ML-система, определяющая ситуации отсутствия на складе и аномалии в продажах, которая в режиме, близком к реальному времени, выявляет потенциальные проблемы с наличием товара и…
The Software Engineer Analytics will develop, optimize, and cloudify the company's analytics platform while building applications and supporting cross-functional teams. The role focuses on the full development lifecycle using technologies like IBM Cognos, SQL, and potentially Java or Python within an agile environment.
The Director of Data Engineering will lead multiple teams in designing and scaling a high-scale, multi-tenant cybersecurity data platform. This role involves managing engineering managers, overseeing data infrastructure, and partnering with stakeholders to deliver AI-assisted insights and analytics.
The Software Engineer Analytics will develop, optimize, and cloudify the company's analytics platform using IBM Cognos, SQL, and various cloud technologies. The role involves working in an agile, cross-functional team to manage the full development lifecycle of analytics solutions.
О команде Авито.Путешествия — быстрорастущий продукт внутри крупнейшей онлайн-платформы объявлений в мире. Мы конкурируем с крупнейшими тревел-игроками и при этом обладаем уникальным преимуществом: гигантская…
Build and maintain secure, scalable backend services for RBC's metadata management platform using Python (Flask/FastAPI) and MongoDB, supporting data governance and compliance in financial services.
Owns and develops Python-based banking risk/control applications, bridging business and tech teams to ensure compliance, security, and performance in hybrid environments.
Staff Data Engineer designing and building large-scale distributed data pipelines and infrastructure using Airflow/Dagster, Spark, dbt, Kafka, and AWS for a consumer insights and e-commerce technology company.
Senior data engineer designing and maintaining large-scale distributed data pipelines and infrastructure for a global tech company’s core products, using Airflow, Kafka, Spark, dbt, and cloud platforms like AWS.
The Senior DevOps Engineer will design, build, and operate a cloud-native platform using Kubernetes, GitOps, and various data and messaging technologies. The role focuses on platform reliability, CI/CD automation, and mentoring junior team members.
The Senior Java Developer will design and build high-volume, real-time applications for Risk Management and Capital Markets using Java, Spring, and microservices architectures. The role involves cloud-native development, containerization, and integrating AI tools to support enterprise financial systems.
About the Role We are seeking an experienced and highly motivated Senior DevOps Engineer to design, build, and operate a modern cloud-native platform that supports mission-critical applications and data services. The…
As part of our world-class software engineering team, you will help build the next-generation infrastructure and platforms that power LinkedIn’s products, business, and AI-first future. This includes data…
Lead a team building and scaling Samsara’s data platform to handle petabytes of IoT data, enabling analytics and AI-driven insights for industries like transportation and manufacturing.
Staff Data Engineer leading the architecture and development of Blackpoint Cyber's enterprise data platform, working with AWS, Spark, Kafka, Python, and Kubernetes to support cybersecurity threat detection and response.
Build and maintain data infrastructure and real-time systems in Python and Go to power analytics and decision-making across Verkada’s AI-powered security platform.
Build and scale Instacart’s open lakehouse foundation, governance, and multi-engine compute platform using Apache Iceberg, Spark, Kafka, and Trino to power real-time analytics and AI-driven data workflows.
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