Data Analytics Engineer
7 days ago
Estimated Salary: $120,000 - $180,000 per year.
Company Overview:Capgemini is a global leader in consulting, technology services and digital transformation. We are looking for a skilled Data Analytics Engineer to join our team.
Job Description:We are seeking an experienced Data Analytics Engineer to design, implement, and maintain large-scale log management solutions using the ELK stack. The ideal candidate will have hands-on experience with Elasticsearch, Logstash, Kibana, and related technologies.
Key Responsibilities:- Design and Implement Log Solutions: Architect and deploy solutions using Elasticsearch, Logstash, and Kibana for log management, real-time data analysis, and visualization.
- Maintain ELK Stack: Monitor, configure, and troubleshoot the ELK stack, ensuring optimal performance and reliability in production environments.
- Log Ingestion and Processing: Configure and manage log ingestion pipelines using Logstash or Beats agents to efficiently collect and process logs and metrics.
- Data Analysis and Visualization: Create and maintain dashboards and visualizations in Kibana for different teams (e.g., development, security, operations) to track system performance, errors, and other metrics.
- Search Engine Optimization: Optimize Elasticsearch queries, mappings, and indexing to ensure efficient data storage and fast search performance.
- Automation: Automate the setup, configuration, and scaling of the ELK stack using tools such as Ansible, Terraform, or Kubernetes.
- Security and Access Control: Implement and manage security configurations in Elasticsearch, including access control, user roles, and encryption.
- Experience with ELK Stack: Strong hands-on experience with Elasticsearch, Logstash, and Kibana.
- Programming and Scripting: Proficiency in scripting languages such as Python, Bash, or Groovy.
- Search Engine Technologies: Knowledge of Elasticsearch internals, clusters, and distributed systems.
- Data Processing: Experience with data collection, transformation, and parsing using Logstash or Beats.
- Systems Administration: Experience with Linux-based systems, networking, and system performance monitoring.
- Performance Optimization: Ability to optimize Elasticsearch performance for large-scale data sets, including query performance, indexing, and storage management.
- Cloud Platforms: Familiarity with cloud services such as AWS, Azure, or GCP is a plus.
- Opportunities for Growth: Collaborative, fast-paced, and dynamic environment with opportunities for growth and learning.
- Competitive Salary: Estimated salary range of $120,000 - $180,000 per year.
- Comprehensive Benefits Package: Offered by Capgemini.
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