Elasticsearch Engineer (ELK)
Alpharetta, GA
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Applications have closed
Zealogics
Digital transformation and Engineering services company working with Fortune 500 customers across Industries for a Sustainable Tomorrow.
Hybrid 3 days a week onsite
Qualifications
- 7+ years of experience with ELK Stack: ElasticSearch, Logstash, Kibana. Good to have Ruby and/or Python, GIT and Unix Shell scripting knowledge.
Responsibilities include:
1. Administer and optimize the Elastic Stack (Elasticsearch, Logstash, Kibana,Beats), focusing on logging use cases.
2. Implement and manage Index Lifecycle Management (ILM) policies, snapshots 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 task 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 design elastic stack solution tailored to specific use cases.
Soft Skills
1. Good verbal and written communication skills.
2. Good analytical and problem-solving skills.
3. Good team player.
Rate range -$60-$65
Qualifications
- 7+ years of experience with ELK Stack: ElasticSearch, Logstash, Kibana. Good to have Ruby and/or Python, GIT and Unix Shell scripting knowledge.
Responsibilities include:
1. Administer and optimize the Elastic Stack (Elasticsearch, Logstash, Kibana,Beats), focusing on logging use cases.
2. Implement and manage Index Lifecycle Management (ILM) policies, snapshots 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 task 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 design elastic stack solution tailored to specific use cases.
Soft Skills
1. Good verbal and written communication skills.
2. Good analytical and problem-solving skills.
3. Good team player.
Rate range -$60-$65
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
0
0
0
Category:
Engineering Jobs
Tags: Ansible Architecture Data management Elasticsearch ELK Git Grafana Kafka Kibana Logstash Python Ruby Shell scripting
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Sr. Data Engineer jobsData Scientist II jobsBusiness Intelligence Developer jobsPrincipal Data Engineer jobsBI Developer jobsStaff Data Scientist jobsStaff Machine Learning Engineer jobsPrincipal Software Engineer jobsDevOps Engineer jobsJunior Data Analyst jobsData Science Intern jobsSoftware Engineer II jobsData Science Manager jobsData Manager jobsStaff Software Engineer jobsAI/ML Engineer jobsLead Data Analyst jobsData Analyst Intern jobsBusiness Data Analyst jobsSr. Data Scientist jobsData Specialist jobsData Engineer III jobsBusiness Intelligence Analyst jobsData Governance Analyst jobsData Analyst II jobs
Consulting jobsMLOps jobsAirflow jobsOpen Source jobsLinux jobsEconomics jobsKafka jobsKPIs jobsGitHub jobsJavaScript jobsTerraform jobsPostgreSQL jobsBanking jobsPrompt engineering jobsRAG jobsRDBMS jobsStreaming jobsNoSQL jobsPhysics jobsClassification jobsData Warehousing jobsComputer Vision jobsScikit-learn jobsdbt jobsGoogle Cloud jobs
GPT jobsLooker jobsHadoop jobsR&D jobsPandas jobsScala jobsData warehouse jobsLangChain jobsOracle jobsReact jobsDistributed Systems jobsBigQuery jobsMicroservices jobsELT jobsScrum jobsCX jobsPySpark jobsIndustrial jobsOpenAI jobsRedshift jobsJira jobsSAS jobsRobotics jobsTypeScript jobsE-commerce jobs