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Builds and maintains Informatica PowerCenter ETL workflows to move and transform enterprise data into data warehouses using SQL and Unix scripting.
Job description： Lead the design, development, and evolution of the company’s overseas data warehouse and data platform across mobile device, IoT, and app data domains Architect and implement scalable data processing…
This position bridges the gap between business requirements and technical implementation. It encompasses the design of data pipelines, integrations, and storage solutions (databases, data warehouses, and big data).…
Build and maintain a scalable analytics platform using Hadoop, Spark, and OpenShift, collaborating with data teams to deploy and monitor data solutions.
Designs and maintains a central big data platform (Hadoop, Spark, OpenShift) for Raiffeisen’s analytics, enabling AI/ML-driven insights across the organization. Focuses on scalability, automation, and collaboration with data teams.
Привет! Это команда Базовых ML Моделей. Мы строим единую систему оценки качества ML-решений в Озоне — от классических моделей до больших языковых моделей. Наша задача — находить лучшие ML-разработки внутри компании,…
Builds and maintains data pipelines, automates reporting, and analyzes financial datasets using SQL, PySpark, and Python to support retail banking operations.
The Data Engineer will join the Financial Services division to build and maintain data platforms, focusing on data ingestion, transformation, and governance for banking clients. The role involves working with a wide range of Big Data and BI technologies like Spark, Kafka, and Azure to deliver value through data pipelines and prototypes.
Нагрузочный тестировщик разрабатывает и поддерживает скрипты для тестирования микросервисных и интеграционных систем, анализирует производительность и готовит отчеты. Работает с базами данных, логами и мониторингом, используя Java и Linux.
A Google Cloud Consultant advises clients on data analytics and big data solutions, designing distributed systems and migrating on-premise workloads to Google Cloud while collaborating with executives and technical teams.
Разрабатываете корпоративный движок потоковой обработки на Apache Flink для фрод-мониторинга, скоринга и расчетов в реальном времени, проектируя интеграции, мониторинг и процессы управления жизненным циклом приложений.
What you’ll do: • Collaborate with decision scientists to enable and optimize AI/ML workflows through data engineering and platform support. • Provide support for Spark, Hive, and Hadoop jobs, including troubleshooting…
Builds and maintains ETL pipelines for classified cyber data, optimizing data flows for national security missions using Python, SQL, and cloud tools.
Incorporación e integración en equipos de trabajo realizando funciones de: -Tratamiento estadístico de datos (data mining) - Modelización predictiva mediante técnicas de machine learning y data science - Modelización…
Design, architect container-based automation solutions on public cloud infrastructure (AWS/Azure), define development processes, provide technical leadership, and act as liaison between clients and operations teams.
Design, build, and operate cloud data systems and pipelines for batch and streaming data, using Python, AWS, big data tools like Hadoop and Spark, and data warehousing concepts to support analytics and ML workloads.
The Cloud Sales Specialist will demonstrate a growth mindset, ability to think big & execute and take complete ownership of the revenue targets in the identified customer segment. This position would also require…
Minfy is a Premier Cloud Partners (AWS, Azure) expanding our services in ASEAN countries, with our HQ in Hyderabad-India and KL-Malaysia being our Regional Hub for APAC since 2020 We are seeking a high-performing…
Привет! 👋 Мы — дата-инженерная команда внутри Управления экспериментальных систем машинного обучения SberAI. Наша миссия — поставлять качественные мультимодальные датасеты в продуктовые команды, которые развивают…
MLOps engineer builds and scales automated document-processing pipelines for a FinTech platform using Airflow, MLflow, and Kubernetes.
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