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Macquarie Group ищет специалиста по данным в команду Data Services. Ваша задача — проектировать и строить масштабную облачную платформу данных, управлять Data Lake и обеспечивать безопасные, масштабируемые окружения.
Будете работать с AWS S3, Airflow, Trino, Parquet и Redshift, оптимизируя запросы на триллионные объёмы. Проживание в гибридном формате и возможность влиять на стратегию компании.
At Macquarie, our Data Services Team drives innovation by delivering a diverse suite of data products that empower data-driven decision-making and enhance operational efficiency. With a strong focus on engineering, data science, and analytics, the team delivers innovative solutions that empower business users primarily trading teams to tackle complex challenges and unlock new opportunities.
designing, building, and optimising a cutting-edge, petabyte-scale data platform powered by modern cloud technologies. manage and enhance a petabyte-scale Data Lake create secure, efficient, and scalable environments for our data platforms. You'll leverage cloud-native technologies and AWS tools such as AWS S3, EKS, Glue, Airflow, Trino, and Parquet, while preparing to adopt Apache Iceberg for even greater performance and flexibility. You'll tackle high-performance data workloads, ensuring seamless execution of massive queries, including 600+ billion-row queries in Redshift, by designing and maintaining robust, scalable infrastructure. Our flat structure means that you will directly contribute to our strategy while taking ownership of a diverse range of projects utilising the latest technologies.
A dynamic individual with a strong Data, DevOps and Engineering background who loves to solve data problems and build automation and CI/CD Pipelines in the data space and cloud infrastructure. Good understanding of modern Data Platforms, Databases, Data Lakes, Data Warehouses and Query Engines, SQL/DDLs Experience with Python coding/testing or any Cloud-based technology (AWS preferred) Good understanding of Hosting Platform Linux/Unix Будет плюсом: EKS and Container experience is a plus