Описание
We are partnering with a leading enterprise organization seeking an experienced Data Engineer to support a strategic data transformation programme. This role will focus on designing scalable data models, developing robust data pipelines and supporting business analytics through a modern data platform environment.
Responsibilities
* Design and maintain enterprise-scale dimensional data models * Develop Spark/PySpark data pipelines for batch and incremental processing * Build and optimize data solutions within Databricks and Microsoft Fabric * Design scalable Lakehouse and Warehouse architectures * Perform complex SQL development, transformation and validation * Implement data quality monitoring and automated testing frameworks * Maintain documentation, metadata management and lineage tracking * Optimize platform performance and support cost-efficiency initiatives * Collaborate with business and technical stakeholders to deliver analytics solutions
Requirements
* 5+ years of Data Engineering experience * Strong expertise in dimensional data modelling * Hands-on experience with Databricks * Strong Microsoft Fabric experience * Advanced SQL skills * Strong Spark/PySpark development experience * Experience with Delta Lake and Lakehouse architectures * Knowledge of CI/CD and DevOps practices * Strong problem-solving and stakeholder communication skills Preferred * Experience working in enterprise-scale environments * Exposure to analytics and reporting platforms * Experience improv
Полное описание, компания и ссылка на вакансию — после входа.
ВойтиКонтакты работодателя (email/phone/telegram) скрыты из публичного превью —
отправьте резюме, чтобы мы связали вас напрямую.