Requirements:

• Azure Data Engineer with a minimum of 8 years of experience.
• Azure Data Factory, Azure Data bricks Spark (PySpark or scala), SQL
• Experience in Azure ingestion from on-prem source, e.g. mainframe, SQL server, Oracle.
• Experience in Sqoop / Hadoop
• Microsoft Excel (for metadata files with requirements for ingestion)
• Any other certificate in Azure/AWS/GCP and data engineering hands-on experience in cloud
• Strong Programming skills with at least one of Python, Scala, or Java
• Strong SQL skills (T-SQL or PL-SQL)
• Data files movement via mailbox
• Source-code versioning/promotion tools, e.g. Git/Jenkins
• Orchestration tools, e.g. Autosys, Oozie
• Source-code versioning with Git.
• Nice-to-have skills.
• Experience working with mainframe files.
• Experience in Agile environment, JIRA/Confluence