• Azure Data Engineer
  
• 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 tools
  

• Leveraging Technology - Knowledge of current and upcoming technology along with expertise in programming (automation, tools and systems) to build efficiencies and effectiveness in own function/ Client organization - Competent
  
• Process Excellence - Ability to follow the standards and norms to produce consistent results, provide effective control and reduction of risk - Expert
  
• Technical knowledge - knowledge of various programming languages, tools, quality management standards and processes - Expert
  

• Formulation & Prioritization
  
• Innovation
  
• Managing Complexity
  
• Execution Excellence
  
• Passion for Results