
Azure Data Support Team Lead
1 day ago
Job Title: Azure Data Support Lead
This is a leadership position that requires technical expertise and people management skills. The successful candidate will be responsible for leading a team of engineers, providing technical guidance, and ensuring efficient handling of support activities.
About the Role:
- The team leader will oversee the support operations for applications and pipelines built on Azure Databricks, PySpark, Azure Data Factory, and Azure Function Apps.
- The role involves managing the monitoring and maintenance of Azure SQL databases and AKS deployments.
- The team leader will review and debug Python-based scripts and PySpark jobs to resolve incidents and optimize performance.
Responsibilities:
- Team Leadership:
- Lead and mentor a team of Level 1 and Level 2 engineers.
- Assign tasks, track progress, and ensure SLA compliance for support tickets.
- Manage the support operations for applications and pipelines.
- Review and debug Python-based scripts and PySpark jobs.
- Serve as the escalation point for critical incidents and production issues.
- Ensure root cause analysis (RCA) is conducted for recurring incidents and preventive measures are implemented.
- Identify and implement improvements in support processes to enhance efficiency and reliability.
- Leverage automation tools to reduce manual intervention and streamline operations.
- Work closely with cross-functional teams, including development and operations.
- Provide regular updates and reports to leadership and stakeholders on support performance metrics.
- Develop and maintain comprehensive documentation for support processes and incident resolutions.
- Conduct training sessions and knowledge-sharing workshops for the support team.
Requirements:
To be considered for this role, you should have a strong background in ITIL processes and incident management frameworks. You should also have experience working with Azure Databricks, PySpark, Azure Data Factory, and Azure Function Apps.
A Bachelor's degree in Computer Science or related technical degree is required. Proficiency in Python and PySpark is also essential.
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