ELK Developer

2 weeks ago

Mumbai, Maharashtra, India Employee Forums Full time
Job Description

We are seeking a skilled and motivated ELK Developer to join our team. In this role, you will be responsible for developing and maintaining the ELK Stack (Elasticsearch, Logstash, Kibana) solutions to enhance our data processing and analytics capabilities. The ideal candidate will have a strong understanding of log management, data ingestion, search optimization, and visualizing data within the ELK stack.

Key Responsibilities:

- ELK Stack Development: Design, implement, and manage Elasticsearch, Logstash, and Kibana to build efficient and scalable solutions for data ingestion, indexing, search, and analytics.
- Data Integration: Work with cross-functional teams to integrate multiple data sources into the ELK stack, ensuring optimal performance and real-time data processing.
- Custom Dashboards & Visualization: Create dynamic Kibana dashboards and visualizations to represent complex data in an accessible, insightful manner for various stakeholders.
- Optimization: Monitor and optimize the performance of Elasticsearch queries, indexes, and clusters to ensure high availability, responsiveness, and scalability.
- Log Management: Design and implement log management systems to centralize logs from various sources, improving troubleshooting and operational monitoring.
- Security & Compliance: Implement security measures and ensure data compliance within the ELK stack, ensuring that sensitive data is protected and access control is properly managed.
- Automation: Develop and maintain automation scripts to streamline data pipelines and ETL processes using Logstash, Beats, or custom solutions.
- Troubleshooting: Analyze and resolve issues related to the ELK stack, including performance, scalability, and security challenges.
- Documentation & Training: Document solutions, best practices, and workflows. Provide training to team members and end-users on how to use the ELK stack effectively.

Required Skills & Qualifications:

- Proven experience with ELK Stack (Elasticsearch, Logstash, Kibana) development and administration.
- Strong proficiency in SQL, JSON, and RESTful APIs for data integration and manipulation.
- Familiarity with Beats and Logstash for log data collection and ingestion.
- Hands-on experience with Elasticsearch index design, query optimization, and clustering.
- Experience in building and optimizing Kibana dashboards for real-time data visualization and analysis.
- Strong understanding of data ingestion pipelines, ETL processes, and data transformation.
- Experience with Linux/Unix systems and shell scripting.
- Familiarity with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes) is a plus.
- Knowledge of data security, including encryption and access controls, for ensuring safe handling of sensitive data.

Preferred Skills & Qualifications:

- Experience with cloud-based platforms (AWS, Azure, GCP) for deploying and scaling ELK stack solutions.
- Familiarity with machine learning integrations in Elasticsearch for predictive analytics.
- Knowledge of other logging/monitoring frameworks like Fluentd or Grafana.
- Experience with DevOps practices and CI/CD pipelines.
- Strong analytical and troubleshooting skills with an ability to diagnose complex technical issues.

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