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Mid-level generalist data support role in Bangalore at a known firm increases applicant competition.
Databricks skills are transferable across industries, but SAP Datasphere enterprise experience raises domain specificity.
Mandatory 2–5 years plus hands-on Databricks and SAP Datasphere skills make shortlisting relatively strict.
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Provide L1/L2 technical support for SAP Datasphere and Databricks environments, handling incident management and resolution.
Monitor and troubleshoot data pipelines, job performance, connectivity, and data ingestion issues across SAP and Databricks platforms.
Maintain SOPs, ensure SLA and KPI adherence, perform root cause analysis, and collaborate with engineering teams for long-term fixes and automation opportunities.
2–5 years of experience in technical or application support roles.
Hands-on experience with SAP Datasphere (data modeling, integration, connectivity troubleshooting) and Databricks (cluster management, job monitoring, performance tuning).
Experience with ITIL practices and ticketing tools such as ServiceNow or Jira.
Work Experience Required: 2–5 years
Experienced in operational incident management and resolution within SAP Datasphere and Databricks technical environments.
Capable of performing root cause analysis and driving continuous improvement through SOP maintenance and automation.
Comfortable collaborating with global teams and handling communication with multiple stakeholders.