- Strong Data Engineering skills using Azure and Pyspark (or
Databricks, Hadoop/Spark using Java/Scala)
- Experience in Azure Data Factory and other Azure services
(ADLS, Azure SQL, Blob Storage)
- Experience in loading and transforming the data using spark or any big data technologies( Hive, Kafka, Hbase ,Spark or Storm).
- Very good SQL knowledge
- Knowledge in Azure Devops
- Good Communication skills
Positive-to-Have
- ETL Process experience in any Cloud or any on-premise big data platform.
- Azure Solution Architecture Data Engineer Certification
3.Good data warehousing concepts
📌 Data Engineer (Australia)
🏢 Pyramid Global Technologies
📍 Australia
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