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Xebia is seeking a Mid/Senior Data Engineer to build scalable data solutions on AWS for international clients. The role requires expertise in Python, SQL, dbt, and Apache Airflow to manage production-scale data pipelines and warehouses.
Чем предстоит заниматься: Контроль и обеспечение валидности транспортных метрик Формирование и визуализация операционных метрик по транспортному блоку Построение дашбордов (Power BI, Tableau, Superset) для…
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Designs and builds large-scale data pipelines in Scala, Spark, and Java to process 80–90 million records daily for financial services clients.
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Designs and maintains scalable data pipelines and warehouses, building ETL processes in cloud/on-prem environments to support analytics and business intelligence.
Designs, builds, and maintains scalable AWS-based data pipelines and ELT workflows, ensuring reliability, performance, and collaboration with cross-functional teams.
Builds scalable data pipelines and frameworks for ingestion, processing, and storage, ensuring system correctness, performance, and adherence to best practices like automation testing and monitoring. Works with big data tools like Spark, Kafka, and Hive to solve business questions and maintain workflows.
RESPONSIBILITY Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization. Perform data extraction, cleaning, transformation, and flow. Web…
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