Data Engineer

Job Requirements:Strong Data Engineering skills using Azure and PysparkGood Knowledge of SQLPreferred experience in Big Data/Hadoop technologies such as Spark, Hive, HBase, and KafkaPreferred experience in the ETL processGood Communication SkillsDesired Experience Range: 5 – 10 yearsLocation of Requirement: Perth/AustraliaDesired Competencies (Technical/Behavioral Competency):Must-Have:Strong Data Engineering skills using Azure and Pyspark (or Databricks, Hadoop/Spark using Java/Scala)Experience in Azure Data Factory and other Azure servicesExperience in loading and transforming data using Spark or any big data technologies (Hive, Kafka, HBase, Spark, or Storm)Very good SQL knowledgeGood-to-Have:ETL Process experience in any Cloud or any on-premise big data platform
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