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Job Responsibilities: Provide application support to various business users. Attend to business queries and business requests promptly. Follow through the business requests to a proper closure Work on timely resolution…
The Senior Software Engineer will design, develop, and maintain Java-based backend applications and services within a hybrid work environment. The role focuses on building performant systems using Java 8, Spring, Kafka, and cloud-native technologies like Docker and Kubernetes.
Build Airwallex's next-generation billing and invoicing platform as a Software Engineer II, working with Java, Spring Boot, and microservices in a cross-border payments fintech company.
The Data Engineer will maintain, optimize, and support a DataHub for a banking client, ensuring data integrity and managing data processing flows. The role requires proficiency in Spark, Scala, and Hadoop, and involves a hybrid work model in Madrid.
The DevOps Engineer will support a complex cloud-based computing platform by managing infrastructure, system operations, and deployment automation for the data science community. The role requires expertise in Linux, container orchestration, and CI/CD pipelines within a secure environment.
Build and maintain data pipelines and infrastructure for Morgan Stanley's AI platforms, primarily using Snowflake, Databricks, and Python in a hybrid Glasgow office.
Software Engineer building and optimizing scalable big-data platforms at smartclip that process terabytes of TV and advertising data daily, using Spark, Scala, Docker, Kubernetes, and AWS.
A Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines on Hadoop and cloud platforms (Databricks/Snowflake) using PySpark, SQL, and orchestration tools to process and enable data-driven products.
Lead Data Engineer designing and building scalable cloud-native data platforms and ETL/ELT pipelines, mentoring engineers, and supporting data governance using Python, Spark, Hadoop, Databricks, Snowflake, and Airflow.
This role involves using advanced data analysis, machine learning, and experimental design to drive subscription and customer growth for Google's consumer apps. The data scientist will collaborate with cross-functional teams to provide actionable business insights and recommendations to senior leadership.
Co-op ML software engineer building end-to-end ML solutions—from data preprocessing to front-end—at RBC Borealis, using Python/C++/Java, Spark/Hadoop, and deep learning frameworks.
Обязанности: - Ручное тестирование моделей машинного обучения; - Разработка и поддержка API автотестов; - Коммуникация с командой и разработчиками моделей. Требования: - Опыт ручного функционального и интеграционного…
KoronaTech – это популярный, интенсивно развивающийся онлайн-сервис денежных переводов и смарт-займов на любые товары и услуги. Благодаря нашим продуктам пользователи в десятках стран мира могут быстро, удобно и…
Обязанности: - Разработка и развитие микросервисов и data процессов для online/streaming и batch обработки; - Построение пайплайнов обработки, обогащения и репликации данных; - Создание витрин, агрегатов и ML фичей для…
Data Engineer at Optum/UnitedHealth Group in Dublin building Big Data pipelines, ETL processes, and data solutions using SQL, Python, Spark, Databricks, cloud platforms, and Airflow in a hybrid work model.
Designs and builds real-time big data pipelines for healthcare analytics, collaborating with business and tech teams to automate data processing and ML/BI workflows using cloud and big data tools.
The AI Strategist at AWS works within the Generative AI Innovation Center to help customers identify, design, and implement generative AI and machine learning solutions. The role involves bridging the gap between business goals and technical execution, requiring expertise in cloud architecture, AI/ML, and stakeholder management.
Builds low-latency C++ trading systems in Mumbai, owning end-to-end development of market-connectivity and execution components that handle massive data flows and integrate hardware.
Designs and maintains IMC’s big-data infrastructure (Kafka, Hadoop, Spark, Flink) and builds streaming pipelines in Java/Python to power global trading.
Builds and maintains risk-analysis systems and dashboards for a global trading firm, using Java/Python and modern data tools to measure exposures and capital across asset classes.
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