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Build and maintain Visa’s large-scale Hadoop and cloud-based big-data platforms, write Python/Java services, and integrate Generative AI to automate operations and improve system reliability.
Builds and maintains scalable data pipelines on AWS using Python, Spark, and Redshift to process large datasets for clients.
Build high-performance C++ and Python back-end services, APIs, and data pipelines for NCBI’s biomedical research platforms, ensuring performance, security, and accessibility.
Senior Solution Engineer driving cloud database and analytics adoption for enterprises, designing secure, scalable solutions with Microsoft’s AI-powered data platform (Fabric, Azure Databricks, Cosmos DB) and guiding migrations.
Senior Data Engineer builds and maintains large-scale cloud data pipelines and processing systems using AWS and big data tech to power analytics and ML at a global weather data provider.
Builds and maintains large-scale ETL pipelines and data warehouses using Spark, Hadoop, Python, and SQL to deliver clean, actionable datasets for analytics and reporting.
Senior Data Engineer designs and maintains real-time and batch data pipelines handling petabytes of data using Flink, Spark, Kafka, Iceberg, and Druid on AWS, enabling rapid insights for analytics and reporting.
Lead a team to design, build, and deploy production-grade ML systems and pipelines using Python, PyTorch, and cloud-native tools to improve United Airlines' operations and customer experiences.
Manage end-to-end delivery of data-platform projects (OneAB, Horizon, OneDWH) for VK Group, coordinating cross-functional teams and ensuring on-time, on-budget launches.
Designs and maintains scalable data pipelines in Palantir Foundry using Python, PySpark, and cloud services to process and integrate healthcare data securely.
Разрабатываете и поддерживаете витрины данных на Hadoop, ETL-процессы и датасеты для моделей в экосистеме Сбера, используя SQL, Spark, Java/Scala и Python.
Build and maintain secure, scalable data pipelines for insurance clients using ETL tools, databases, and cloud platforms to deliver reliable data for business use cases.
Build and maintain secure, scalable data pipelines for financial clients, ensuring reliable data delivery for business use cases using ETL/ELT, Spark, Kafka, and cloud platforms.
Чем предстоит заниматься: Создавать и поддерживать аналитические отчетов для мониторинга показателей направления; Оценивать эффективность кампаний на продвижение продуктов банка Проводить A/B-тестирование; Факторный…
Principal AI/ML Engineer to architect and deploy cutting-edge models (LLMs, transformers) and lead AI strategy at high-growth startups in SignalFire’s portfolio.
Build and deploy AI models from scratch for early-stage startups, leading RAG pipelines, agent architectures, and LLM-powered systems in Python with PyTorch/TensorFlow.
Senior Solutions Architect designs and implements big-data pipelines on Databricks and Apache Spark for Fortune 500 clients, guiding architecture, performance tuning, and ML model deployment.
Builds and maintains Hadoop-based data marts for a large Russian bank’s B2C ecosystem, writes ETL pipelines, and prepares datasets for ML models.
A Senior DevOps Engineer at Adobe building and managing globally distributed infrastructure for the Search & Discovery and Adobe Sensei ML platforms, utilizing Elasticsearch, Kafka, Kubernetes, Docker, and public clouds like AWS and Azure.
Build and evolve eBay’s declarative data platform to eliminate duplication and optimize pipelines at scale, focusing on distributed systems for ingestion, streaming, and lakehouse/warehouse.
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