Elastic Stack Engineer Elastic Stack Data Engineer
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Job Location:
Alpharetta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Title: Elastic Stack Engineer/ Elastic Stack Data Engineer
Location: Alpharetta GA 30005
Duration: 12 Months
Location: Alpharetta GA 30005
Duration: 12 Months
Pay: $80-$90/hr on W2
Qualifications -
7 years of experience with ELK Stack: ElasticSearch Logstash Kibana and Beats. Good to have Ruby and/or Python GIT and Unix Shell scripting knowledge.
Responsibilities include:
1. Build maintain and optimize Elastic clusters focusing on logging use cases.
2. Implement and manage Index Lifecycle Management (ILM) policies snapshotss and searchable snapshots for efficient data storage.
3. Design and implement Hot-Warm- Cold architecture for scalable and cost-effective data management.
4. Configure index templates to ensure consistency and best practices across all indices.
5. Architect and size Elasticsearch clusters based on business requirements and performance needs.
6. Automate deployment and configuration management using Ansible.
7. Write shell scripts to automate routine tasks and optimize operations.
8. Utilize GIT for version control and collaborative configuration management.
9. Plan and execute Elastic Stack version upgrades and patching with minimal downtime.
10. Configure Grafana dashboards for monitoring and visualization of Elasticsearch data.
11. Set up and manage alerting systems to monitor cluster health and performance.
12. Integrate Logstash Kafka and Beats for data ingestion and log forwarding.
13. Troubleshoot diagnose and resolve issues related to Elasticsearch Logstash Kibana and related components.
14. Collaborate with cross-functional teams to gather requirements and designan elastic stack solution tailored to specific use cases.
7 years of experience with ELK Stack: ElasticSearch Logstash Kibana and Beats. Good to have Ruby and/or Python GIT and Unix Shell scripting knowledge.
Responsibilities include:
1. Build maintain and optimize Elastic clusters focusing on logging use cases.
2. Implement and manage Index Lifecycle Management (ILM) policies snapshotss and searchable snapshots for efficient data storage.
3. Design and implement Hot-Warm- Cold architecture for scalable and cost-effective data management.
4. Configure index templates to ensure consistency and best practices across all indices.
5. Architect and size Elasticsearch clusters based on business requirements and performance needs.
6. Automate deployment and configuration management using Ansible.
7. Write shell scripts to automate routine tasks and optimize operations.
8. Utilize GIT for version control and collaborative configuration management.
9. Plan and execute Elastic Stack version upgrades and patching with minimal downtime.
10. Configure Grafana dashboards for monitoring and visualization of Elasticsearch data.
11. Set up and manage alerting systems to monitor cluster health and performance.
12. Integrate Logstash Kafka and Beats for data ingestion and log forwarding.
13. Troubleshoot diagnose and resolve issues related to Elasticsearch Logstash Kibana and related components.
14. Collaborate with cross-functional teams to gather requirements and designan elastic stack solution tailored to specific use cases.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
