Azure Data Engineer

JD:

a bachelors degree or higher in Computer Science/ Engineering/ Science
data engineer with 10+ years of experience, having 4+ experience in Azure cloud native services. Experience in Azure Data Bricks (Scala/Python), ADLS Gen2, Azure SQL Database, SQL/T-SQL, Azure Services like Azure Data Factory Understanding on different monitoring and logging solutions on Azure Good to have experience on Data Visualization Tools like Power BI and Tableau Good to have experience on Azure Streaming, Azure Cosmos DB, Azure Data Explorer (ADX), Azure Stream Analytics, Azure Event Hubs, Event Grids Good to have experience in programming language like Python/Scala/Java Good to have experience in Dev Ops concepts like Containers, Kubernetes, DevOps, Automation & CI/CD Pipeline, Effective Unit Testing, Test Driven Development. Good to have experience of Apache Flink/Apache Kafka and the ELK stack (Elasticsearch, Logstash & Kibana) Good to have Big Data experience with one or more: Data Lakes, Hadoop, Spark, Flink, Azure Batch, Graph databases, Cosmos DB experience to work with distributed development teams. proven track of Agile software delivery practices and technical leadership great communicator, you know how to speak with people at all levels. team player, working with a globally distributed team.