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
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