Required Skills:
• Elastic
• Kibana
• Logstash (ELK)
Experience Requirements: • Candidate should have 8 years of relevant experience in ELK. • S/He should be able to develop/build the required pipeline for data ingestion using Logstash component. • S/He should have implementation experience in ELK. • If the candidate has just done monitoring of an existing ELK setup, that will not be useful. • Candidate should have exposure to cloud and Kafka. • Also should have exposure to the security domain. • Strong understanding of Elastic - Elasticsearch, Kibana, Logstash, Fleet, and other integrations. • Data Engineering skill set to design and develop pipelines to ingest data into Elastic. • Cloud & Domain aware.
Responsibilities: • Building all the required pipelines for data ingestion. • Setting up the ELK stack. • Analyzing and sharing insights with stakeholders. • Maintaining the ELK stack.
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Experience Requirements: • Candidate should have 8 years of relevant experience in ELK. • S/He should be able to develop/build the required pipeline for data ingestion using Logstash component. • S/He should have implementation experience in ELK. • If the candidate has just done monitoring of an existing ELK setup, that will not be useful. • Candidate should have exposure to cloud and Kafka. • Also should have exposure to the security domain. • Strong understanding of Elastic - Elasticsearch, Kibana, Logstash, Fleet, and other integrations. • Data Engineering skill set to design and develop pipelines to ingest data into Elastic. • Cloud & Domain aware.
Responsibilities: • Building all the required pipelines for data ingestion. • Setting up the ELK stack. • Analyzing and sharing insights with stakeholders. • Maintaining the ELK stack.
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