Risk Resources LLP hyd
https://www.riskresourcesindia.comAbout
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Jobs at Risk Resources LLP hyd
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Desired Competencies (Technical/Behavioral Competency)
- . Strong knowledge of Splunk architecture, components, and deployment models (standalone, distributed, or clustered)
- Hands-on experience with Splunk forwarders, search processing, and index clustering
- Proficiency in writing SPL (Search Processing Language) queries and creating dashboards
- Familiarity with Linux/Unix systems and basic scripting (e.g., Bash, Python)
- Understanding of networking concepts and protocols (TCP/IP, syslog)
Key Responsibilities
- Deploy Splunk Enterprise or Splunk Cloud on servers or virtual environments.
- Configure indexing and search head clusters for data collection and search functionalities.
- Deploy universal or heavy forwarders to collect data from various sources and send it to the Splunk environment
- Configure data inputs (e.g., syslogs, snmp, file monitoring) and outputs (e.g., storage, dashboards)
- Identify and onboard data sources such as logs, metrics, and events.
- Use regular expressions or predefined methods to extract fields from raw data
- Configure props.conf and transforms.conf for data parsing and enrichment.
- Create and manage indexes to organize and control data storage.
- Configure roles and users with appropriate permissions using role-based access control (RBAC).
- Integrate Splunk with external authentication systems like LDAP, SAML, or Active Directory
- Monitor user activities and changes to the Splunk environment
- Optimize Splunk for better search performance and resource utilization
- Regularly monitor the status of indexers, search heads, and forwarders
- Configure backups for configurations and indexed data
- Diagnose and resolve issues like data ingestion failures, search slowness, or system errors.
- Install and manage apps and add-ons from Splunkbase or custom-built solutions.
- Create python scripts for automation and advanced data processing.
- Integrate Splunk with ITSM tools (e.g., ServiceNow), monitoring tools, or CI/CD pipelines.
- Use Splunk's REST API for automation and custom integrations
- Good to have Splunk Core Certified Admin certification
Splunk Development and Administration
- Build and optimize complex SPL (Search Processing Language) queries for dashboards, reports, and alerts.
- Develop and manage Splunk apps and add-ons, including custom Python scripts for data ingestion and enrichment.
- Onboard and validate data sources in Splunk, ensuring proper parsing, indexing, and field extractions.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
React.js
NodeJS (Node.js)Key Responsibilities
- Develop front-end applications using React JS
- Design and implement back-end services using Node JS
- Collaborate with cross-functional teams to deliver projects
- Troubleshoot and optimize application performance
Requirements
- Strong experience with React JS and Node JS
- Proficiency in JavaScript, HTML/CSS, and relevant frameworks
- Experience with database management (e.g., MongoDB, PostgreSQL)
- Excellent problem-solving skills and attention to detail
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
Spring Boot
jQuery
HTML/CSS- Please be specific with the required skill set while sourcing profiles. We require candidates with the following skills. Front end (jQuery, HTML5, Angular JS)+ Middleware (java 8 & Above, Spring boot)
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonKey Responsibilities :
- Centralize structured and unstructured data
- Contribute to data strategy through data modeling, management, and governance
- Build, optimize, and maintain data pipelines and management frameworks
- Collaborate with cross-functional teams to develop scalable data and AI-driven solutions
- Take ownership of projects from ideation to production
Ideal Qualifications and Skills :
- Bachelor's degree in Computer Science or equivalent experience
- 8+ years of industry experience
- Strong expertise in data modeling and management concepts
- Experience with Snowflake, data warehousing, and data pipelines
- Proficiency in Python or another programming language
- Excellent communication, collaboration, and ownership mindset
- Foundational knowledge of API development and integration
Nice to Have :
- Experience with Tableau, Alteryx
- Master data management implementation experience
Success Factors :
- Strong technical foundation
- Collaborative mindset
- Ability to navigate complex data challenges
- Ownership mindset and startup-like culture fit
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