... to the very best data, content, and insights. In turn, ... known to use our data to make critical team decisions. ... Perform is there. However, data and tech are only half ... in harnessing live sporting data, using advanced cloud technologies, Java, ...
... and business leaders on cloud, data and cyber security. Let’s fuse ... ? We are looking for a Senior Business Analyst - If this opportunity is for ... : www.itjobs.pt oferta 492396 senior-business-analyst
... and business leaders on cloud, data and cyber security. Let’s fuse ... basis? We are looking for Senior Analist Aplicational - DsvDatawarehouse. - If this ...
... ; Experience with Kubernetes; Familiarity with data modeling concepts and best practices; ... architectures that handle high throughput data streams (Kafka, SQS SNS); Experience ...
... ; Experience with Kubernetes; Familiarity with data modeling concepts and best practices; ... architectures that handle high throughput data streams (Kafka, SQS SNS); Experience ...
... will do Design and implement data pipelines using DBT for transformation and modeling; Manage and optimize data warehouse solutions on Snowflake; Develop ... ; Experience with Kubernetes; Familiarity with data modeling concepts and best practices; ...
... , or equivalent; 5+ years in data engineering, and data pipeline development in high-volume ... , or equivalent; 5+ years in data engineering, and data pipeline development in high-volume ...
... , or equivalent; 5+ years in data engineering, and data pipeline development in high-volume ... , or equivalent; 5+ years in data engineering, and data pipeline development in high-volume ...
... working with the Fast Data Product Ability to teach, engage, ... collects the richest sports data in the world and transforms ... with reliable and fast data to power their own innovations, ... . As the leading sports data and AI company, Stats Perform ...
... equivalent; 5+ years in data engineering, and data pipeline development in high-volume ... -end ETL workflows, including data ingestion and transformation logic, involving different data sources; Experience with data-engineering cloud technologies as: Apache ...