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Mid-level experience requirement, Bangalore metro location, and IT services brand increase applicant competition despite niche Databricks skills.
Databricks and SAP Datasphere platform skills are domain-specific but reasonably transferable across industries with data platforms.
Explicit 2–5 year requirement plus mandatory Databricks and SAP Datasphere experience and ITIL familiarity creates moderate filtering.
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Provide L1/L2 technical support for SAP Datasphere and Databricks environments, focusing on incident resolution and monitoring data pipelines and job performance.
Manage incident lifecycle including root cause analysis, escalation, and adherence to SLAs/KPIs for system uptime and ticket resolution.
Collaborate with Data/SAP engineering teams for complex technical issues and drive process improvements like automation and documentation to enhance support workflows.
2–5 years of experience in technical support or application support roles.
Hands-on experience with SAP Datasphere (data modeling, integration, connectivity troubleshooting) and Databricks (cluster management, job monitoring, performance tuning).
Familiarity with ITIL practices and experience using ticketing tools such as ServiceNow or Jira.
Work Experience Required: 2–5 years in relevant technical support roles.
Experienced in supporting enterprise-level data platforms with a strong focus on incident management and operational excellence.
Able to perform detailed troubleshooting and root cause analysis in SAP and Databricks technical environments.
Effective in collaborating with cross-functional teams to implement permanent fixes and optimize support processes through automation and knowledge sharing.