AI-помощник: сопроводительное письмо, адаптация резюме, тренировка собеседованияПерейти ↓
Описание вакансии
Обязанности
•Apply DevOps practices to data platforms
•Build cloud data pipelines
•Collaborate with multidisciplinary teams
•Communicate with stakeholders
•Design data platforms
•Develop end-to-end data products
•Drive client data engineering projects
•Implement data architecture
•Lead data engineering solutions
•Model data for lake and warehouse
Условия
•Buddy and performance manager
•Cafeteria plan benefits
•Career development trainings
•Charging card
•Company car
•Flexible work arrangements
•Insurance package
•International culture
•Smartphone
•Team-building activities
•Wellbeing events
•Work from anywhere 20 days per year
•Work from home
Технологии: AWS, Apache Spark, Azure, Azure Data, Azure Data Factory, Azure Functions, Azure Synapse, Azure Synapse Analytics, CI/CD, Cloud platform, DBT, Data Factory, Data Hub, Data Lake, Data Modeling, Data Vault, Data Vault 2.0, Data Warehouse, Databricks, Google BigQuery, Google Cloud, Google Cloud Platform, Infrastructure as Code, Microsoft Fabric, SQL, Snowflake, Synapse Analytics, “as-code”