OCI Monitoring and Logging Analytics Dashboards Specialist

Experience: 5+ Years
Type: Flexible / Work in Shifts Hybrid (3 Days Onsite)
Location: Bangalore/Hyderabad
Notice-period: Immediate/30 days
Budget: Upto 15 LPA
Technology: IT

Key Responsibilities
Design, develop, and maintain OCI Monitoring and Logging Analytics dashboards for system, application, and business process monitoring.
Utilise OCI Monitoring, Logging, and Logging Analytics services to build advanced visualisations and metrics-based insights.
Integrate observability solutions with incident management and alerting systems such as Email, Slack, and ServiceNow.
Develop and consume REST APIs for data integration between OCI services and third-party tools.
Handle and transform various data formats, including JSON, XML, and unstructured data, for analytics and visualisation.
Write and optimise complex SQL queries to extract and analyse data for monitoring dashboards.
Ensure dashboard accuracy, performance, and usability for different user groups.
Collaborate with cross-functional teams to understand business processes (ERP, Finance, Supply Chain, WMS) and design meaningful monitoring metrics.
Work closely with cloud and middleware teams to ensure seamless data flow across systems such as OIC (Oracle Integration Cloud) and Oracle Data Integrator (ODI).

Required Skills & Qualifications
Strong hands-on experience with:
OCI Monitoring, Logging, and Logging Analytics services
Dashboard creation using Logging Analytics and Logging Services
Experience integrating observability tools with incident management systems (Email, Slack, ServiceNow).
Strong understanding of REST APIs, data formats (JSON, XML, unstructured data), and SQL for querying and data analysis.
High-level understanding of OCI infrastructure components such as Compute, Database, Object Storage, IAM, and FTP systems.
Functional understanding of Oracle ERP, Finance, Supply Chain, WMS, and related business processes.
Excellent analytical, troubleshooting, and communication skills.
Must have experience with scripting languages like Shell scripting and Python for advanced data parsing, automation, and data transformation across structured and unstructured data sources.

Interview Process: Virtual 1st Round + 2nd Round (Face-to-Face)

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