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Principal Engineer defines the technical vision for Acceldata’s Open Data Platform, leading architecture and open-source contributions for scalable, distributed data systems powering enterprise analytics and AI.
Staff Engineer architecting and leading development of the Acceldata Open Data Platform, a petabyte-scale distributed data infrastructure system. Core tech: Java/Scala, big data stack (Hadoop, Spark, Kafka, etc.), Kubernetes, and multi-cloud environments.
Design and build scalable GCP data pipelines using PySpark, BigQuery, Kafka, and Airflow to process batch and real-time data for analytics and BI.
This role involves designing and executing test plans for a big data network analytics and security product. The developer will build automation frameworks using Python or Perl and collaborate with DevOps teams to validate deployments on Kubernetes.
The Data Architect designs and builds large-scale batch and real-time data pipelines on the Google Cloud Platform. The role involves managing data processing systems, ensuring security and scalability, and collaborating with business partners to drive data-driven insights.
Builds and deploys AI/ML pipelines and data infrastructure for DHL’s global logistics operations, using cloud (Azure/GCP) and on-prem tools like Spark, Kafka, and Kubeflow to process petabytes of transactional data into predictive models and analytics.
Senior Data Engineer on Prime Video Advertising building scalable, fault-tolerant data pipelines and infrastructure using AWS services (Glue, Athena, Redshift, EMR), Python, Spark, and Iceberg to support advertising analytics, data governance, and GenAI tooling.
Медиалогия занимается разработкой продуктов по сбору и анализу данных из СМИ и соцмедиа. Мы разрабатываем высоконагруженные системы, которые в режиме реального времени сканируют весь текстовый сегмент Интернета (100+…
SberData - департамент по управлению данными всего Сбербанка. SberData строит централизованное хранилище данных, объем которого уже превышает 100 ПБ. Это продуктово-ориентированная инженерная команда с функциями…
The Data Engineer will join the Ozon fresh Data Science team to develop and optimize large-scale data processing algorithms for supply chain operations. The role involves data preparation, productionizing algorithms, code reviews, and incident analysis using Python, PySpark, and SQL.
Мы занимаемся тонкой настройкой клиентских стратегий: строим индивидуальные модели эластичности (uplift) к ставке по вкладам, потребкредитам, программам лояльности и другим продуктовым направлениям, прогнозируем…
Мы — команда CRM-аналитиков в трайбе SberCampaigning. Наша ключевая задача — определять, какие клиенты получат те или иные коммуникации от банка. От этого напрямую зависит эффективность маркетинга и финансовые…
Analyzes large datasets using Big Data tools to extract insights, build customer models, and personalize offers for a telecom company in Moscow.
Develops and maintains scalable full-stack applications and big data pipelines for national security programs, using frameworks like Hadoop, Spark, and Kafka to process mission-critical data in cloud environments.
Build and optimize OKX’s big-data platform for on-chain analytics, fraud detection, and AI-driven trading tools using Spark, Flink, Kafka, and vector databases.
Builds and optimizes Web3 big-data pipelines (on-chain transactions, smart-contract events) and integrates AI/LLM features like Text2SQL and anomaly detection to power analytics, risk models, and AI-driven data products.
Senior Machine Learning Engineer at RTB House builds and optimizes deep-learning ad-buying systems and ML infrastructure that serve billions of ad views monthly using Python/C++/Scala, PyTorch/TensorFlow, and GCP.
The Data Engineer will manage data requests, maintain operational excellence, and enhance core infrastructure for Amazon Payment Services. The role involves designing and executing data roadmaps using SQL, Python, and big data technologies.
Leads a team designing and overseeing data integration strategies for a bank, ensuring high-throughput data ingestion, compliance, and alignment with business goals using tools like Hadoop and NoSQL.
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