разработка

Lead Data Engineer

24 дн. назад

Коротко

Leads data engineering: software engineering, cloud computing, Databricks, big data; data warehousing, solution design, analysis, visualization, modeling; uses · Needs: 10+ years software engineering, cloud, Databricks, big data; Python, Scala, SQL; Azure and Databricks; Cloudera (HDFS, Spark, Hive, Kafka), Airflow; Azure

Описание от работодателя

Job Description for Lead Data Engineer in Sydney . 10+ years of experience - Software engineering, Cloud computing, Databricks and Big Data Data Engineering, Data Warehousing, Solution Design, Data Analysis, Visualization and Data Modeling Programming: Python, Scala, SQL Cloud: Azure and Databricks Big Data: Cloudera (HDFS, Spark, Hive, Kafka), Apache Airflow DevOps: Azure DevOps (Git, Repos, Pipelines), Git, Terraform, Docker Reporting: SQL Server Reporting Services, Power BI Certified DevOps Engineer Expert, Azure Cloud, Azure Data Lake