Databricks Lead

The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists.

• Key skills Azure Data Factory (primary) , Azure Data bricks Spark (PySpark, SQL)

Must-have skills

• Cloud certified in one of these categories
• Azure Data Engineer
• Azure Data Factory , Azure Data bricks Spark (PySpark or scala), SQL, DATA Ingestion, Curation
• Semantic Modelling/ Optimization of data model to work within Rahona
• 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 tool.

• Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client
  • Mentor and guide Production Specialists on improving technical knowledge
  • Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist
  • Develop and conduct trainings (Triages) within products for production specialist as per target
  • Inform client about the triages being conducted
  • Undertake product trainings to stay current with product features, changes and updates
  • Enroll in product specific and any other trainings per client requirements/recommendations
  • Identify and document most common problems and recommend appropriate resolutions to the team
  • Update job knowledge by participating in self learning opportunities and maintaining personal networks