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ClearRoute is seeking a senior Site Reliability Engineer to lead engineering transformation for a financial services client. The role focuses on improving developer experience, CI/CD, automated testing, and integrating AI-assisted coding tools into production workflows.
Data Engineer migrating Hadoop data workloads and pipelines to AWS and Snowflake as part of a banking modernisation program, building secure and scalable production-ready data solutions.
The DevOps Engineer will support cloud infrastructure, CI/CD pipelines, and containerized environments for various client projects. The role involves using tools like Terraform, Kubernetes, and various monitoring platforms to ensure system reliability and security.
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.
Senior DevOps engineer maintains and scales ClickHouse clusters, automates infrastructure, and ensures high availability for an analytics platform using Linux, Kubernetes, Ansible, and CI/CD.
Leads a team of MLOps engineers to build and deploy Python-based microservices, manage technical requirements, and mentor developers for fintech and big-data projects.
The Data Analyst in the Finance department will analyze large datasets to calculate product costs, develop technical requirements for automated reporting, and prepare analytical presentations for management. The role requires strong SQL, Excel, and data processing skills within a corporate environment.
Привет! Это команда "Модерация селлерского контента" Наша команда отвечает за автоматическую модерацию селлерского контента, обеспечивая его соответствие законодательству РФ и правилам маркетплейса. Много…
This is a student co-op role at RBC Borealis where the intern will develop machine learning-based software solutions, working on tasks ranging from data pre-processing to algorithm implementation and front-end development. The role involves collaborating with research teams and utilizing distributed computing frameworks to solve complex financial problems.
This 4-month student co-op role at RBC Borealis involves developing end-to-end machine learning solutions, from data pre-processing to algorithm implementation and front-end development. The intern will collaborate with research teams to build scalable, data-driven financial applications using technologies like Python, C++, Spark, and various deep learning frameworks.
The AI/ML Lead Consultant will lead customer engagements on Google Cloud, designing and delivering AI, machine learning, and Generative AI solutions. The role involves technical leadership, architectural design, MLOps implementation, and mentoring teams to move projects from strategy to production.
В SberData мы создаем платформы данных для всего Сбера. Это более 350 источников данных и 100+ Пб информации, заказ и получение данных за 15 минут и современных технологический стек работы с данными, включая…
Инженер сопровождает загрузку и архивирование данных в централизованное хранилище Сбербанка на базе Hadoop и Greenplum, мониторит инциденты и оптимизирует ресурсы.
Наша команда разрабатывает компоненты Маркетинговой платформы для поиска и формирования аудитории. Наш стэк: backend - java spring, postgres, kafka; front end – react; для работы с большими данными используем Hadoop…
Designs and scales distributed data pipelines for real-time security insights, leveraging cloud-native and open-source tech like Snowflake, Kafka, and Golang/Java for low-latency global access.
System analyst builds and documents a new payroll ERP product, gathering requirements, designing data models and APIs, and guiding development on PostgreSQL, ClickHouse, Spark and Kafka.
Operate and evolve SP Group’s enterprise Data & AI platform, ensuring scalability, reliability, and security for analytics and AI workloads using Cloudera, Hadoop, Spark, and related tools.
Builds and maintains TikTok’s offline/real-time data warehouses (PB-scale) to process billions of user records, designing scalable data pipelines, analytics systems, and tools for business insights.
Designs and optimizes scalable data pipelines and AI/ML data foundations, automating ETL/ELT workflows with tools like Airflow, Databricks, and Snowflake to enable analytics and AI models across the enterprise.
Designs and implements scalable data pipelines and models for a national healthcare data platform, ensuring secure, high-quality data provisioning and analytics support.
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