Job Title - Devops Data Engineer Location - San Jose, CA
Hands on experience with data ingest, Extract, Transform, and Load (ETL) techniques preferable Logstash and Filebeat
Maintain Elasticsearch, Logstash, Kibana (and X-Pack) Enterprise solutions deployed in the cloud or on-premises
Good knowledge of re-indexing and data mappings in Elasticsearch and its hot/warm/cold lifecycle management implementation
Experience working with streaming platforms like Kafka or AWS Kinesis
Hands on experience with multi-node clustering, architecture, development, implementation, and health monitoring of the indexes
Experience with scripting language such as Python, Shell etc.
Experience with config automation tools such as Puppet, Ansible
Knowledge of DevOps technology and cloud services would be plus
Hands on experience with data ingest, Extract, Transform, and Load (ETL) techniques preferable Logstash and Filebeat
Maintain Elasticsearch, Logstash, Kibana (and X-Pack) Enterprise solutions deployed in the cloud or on-premises
Good knowledge of re-indexing and data mappings in Elasticsearch and its hot/warm/cold lifecycle management implementation
Experience working with streaming platforms like Kafka or AWS Kinesis
Hands on experience with multi-node clustering, architecture, development, implementation, and health monitoring of the indexes
Experience with scripting language such as Python, Shell etc.
Experience with config automation tools such as Puppet, Ansible
Knowledge of DevOps technology and cloud services would be plus