Elastic Stack Engineer

3 weeks ago

Bengaluru, India eJAmerica Full time

Job Description


Job Title: Elastic Stack Engineer


Job Description:


We are seeking a talented Elastic Stack Engineer with over 5 years of experience in data ingestion and dashboard creation using the Elastic Stack suite, which includes Elasticsearch, Logstash, and Kibana. As an Elastic Stack Engineer, you will be responsible for designing, implementing, and maintaining scalable and efficient data pipelines for our organization's data analytics and monitoring needs.


Responsibilities:

1. Designing and implementing data ingestion pipelines using Logstash for collecting, parsing, and enriching various types of data from different sources.

2. Developing Elasticsearch indices and mappings to optimize search and storage performance for efficient data retrieval.

3. Collaborating with cross-functional teams to understand data requirements and implement scalable solutions to meet business needs.

4. Creating and maintaining Kibana dashboards and visualizations to provide real-time insights and monitoring of key performance indicators.

5. Troubleshooting and resolving issues related to data ingestion, indexing, search, and visualization within the Elastic Stack environment.

6. Performing performance tuning and optimization of Elasticsearch clusters to ensure high availability, reliability, and scalability.

7. Developing custom plugins or scripts to extend the functionality of the Elastic Stack and integrate with other systems or services.

8. Staying up-to-date with the latest trends and best practices in the Elastic Stack ecosystem and recommending improvements or enhancements to existing systems.


Requirements:

1. Bachelor's degree in Computer Science, Information Technology, or related field.

2. Minimum of 5 years of hands-on experience with the Elastic Stack suite, including Elasticsearch, Logstash, and Kibana.

3. Proficiency in designing and implementing complex data ingestion pipelines using Logstash, including parsing and transforming structured and unstructured data.

4. Solid understanding of Elasticsearch internals, including index management, query optimization, and cluster configuration.

5. Experience in creating custom Kibana visualizations and dashboards to present data insights in a user-friendly manner.

6. Strong problem-solving skills and the ability to troubleshoot and resolve issues independently in a production environment.

7. Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.

8. Experience with scripting languages such as Python or Ruby for automation and customization tasks within the Elastic Stack environment.

9. Knowledge of monitoring tools and techniques for performance monitoring and capacity planning of Elasticsearch clusters.

10. Elasticsearch certification (e.g., Elastic Certified Engineer) is a plus.


If you're passionate about leveraging the power of the Elastic Stack to drive data-driven decision-making and enhance operational efficiency, we'd love to hear from you

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