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8.0 - 13.0 years
20 - 35 Lacs
Hyderabad
Hybrid
We are seeking an experienced professional who can take ownership of the customers S/4HANA Landscape, SAP Analytics Cloud (SAC), CPI, and related services. The candidate should be capable of coordinating effectively with all stakeholders and planning activities meticulously, as the customer’s system is currently hosted on SAP HEC and will soon migrate to RISE. Key expectations: Strong experience in Upgrades and Migrations (though hands-on execution is not required). Ability to responsibly manage and coordinate between teams for seamless operations, where proper communication is a must. Proactive planning and problem-solving skills for system-related activities. Please ensure candidates meet these criteria to align with the role’s demands. Let me know if further details are needed. Understanding of HEC and RISE operations, little it of Infra side is required. Let me know in case of any queries
Posted 2 months ago
7.0 - 10.0 years
20 - 22 Lacs
bengaluru
Work from Office
Job Description: We are hiring for the position of Senior Splunk Data Engineer with 710 years of relevant experience in log analytics, observability engineering , and enterprise-level Splunk platform management . The ideal candidate will be responsible for designing, implementing, and maintaining Splunk-based monitoring and alerting solutions that support scalable infrastructure and mission-critical applications. This is a key engineering role where you will collaborate closely with security, DevOps, and SRE teams to ensure visibility, uptime, and operational intelligence across distributed systems. Key Responsibilities Design, architect, and implement scalable Splunk deployments in cloud or hybrid environments. Build and manage log ingestion pipelines using Splunk Universal Forwarders, HEC, syslog, and third-party connectors. Create and optimize SPL queries, dashboards, scheduled reports, and alerting mechanisms to support infrastructure and application monitoring. Automate log onboarding, parsing, field extractions, and tagging using scripts (Python, Shell). Integrate Splunk with cloud platforms such as AWS (CloudTrail, CloudWatch), Azure Monitor, and GCP Logging. Perform system tuning, indexing strategy planning, and data lifecycle management (retention/archival). Collaborate with developers and infrastructure engineers to onboard new services and improve observability coverage. Ensure security and compliance alignment using frameworks such as MITRE ATT&CK, NIST, and GDPR. Participate in incident response, root cause analysis, and continuous service improvement. Required Skills: Splunk Enterprise / Cloud SPL (Search Processing Language) Data Onboarding and Field Extraction Python / Shell scripting AWS / Azure / GCP integration Infrastructure Monitoring SIEM & Security Analytics Log Forwarding (UF, HEC, Syslog) Dashboard & Alert Development ITSI (preferred) Performance Tuning & Capacity Planning
Posted Date not available
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