Senior Elastic Developer

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At StatusNeo, we don't just work; we pioneer, innovate, and transform. We are experts in agile software development, specializing in Cloud Native D3 (Digital, Data, DevSecOps). We partner with leading global businesses to create software and digital experiences that redefine industries. We don't settle for the ordinary; we strive for excellence in everything we do.
Your Key Skills: 
 Elasticsearch, ELK Stack, Restful APIs, On-premises, scripting & Automation, Azure, Documentation, webhooks

We are looking for a highly skilled professional with extensive experience in Elasticsearch, Logstash, and Kibana (ELK Stack), capable of managing complex data pipelines, transformations and advanced use-cases.
Technical Responsibilities :
1. Elasticsearch Architecture & Query Optimization
- Design and implement high-performance Elasticsearch architectures, optimizing query performance and index mappings for specific use-cases.
2. Data Pipeline Management
- Build robust, fault-tolerant data pipelines that clean, transform, and aggregate disjointed data streams into searchable indexes.
3. Real-Time Data Processing
- Implement real-time analytics solutions, taking advantage of Elastic's capabilities to perform operations at scale, possibly in a distributed manner.

4. API Development & Integration
- Build custom APIs that leverage Elasticsearch's capabilities for third-party integrations and integrate existing Elasticsearch APIs into the company's products/services.
5. Webhook & Trigger-Based Actions
- Develop event-driven architectures that make use of webhooks to trigger predefined actions based on specific events or anomalies.
6. Master Index Management & Data Consolidation
- Implement an advanced indexing strategy that includes the consolidation of multiple raw indices into master/golden indices to optimize for search and analytics.
7. Security & Compliance
- Implement security measures like encryption, role-based access, and compliance logging within the Elasticsearch ecosystem.
8. Scripting & Automation
- Develop scripts for automated tasks that relate to index management, data ingestion, and transformation, using languages like Python, Groovy, or Shell scripting.
9. Disaster Recovery & High Availability
- Design and implement strategies for backup, disaster recovery, and high availability, possibly involving cross-cluster search and replication.
10. Performance Tuning & Monitoring
- Continuously monitor system health, tuning performance, and ensuring that the Elastic solutions are optimized and healthy.
Non-Technical :
- Documentation : Create and maintain documentation related to Elasticsearch implementations, data models, and configurations.
- Team Collaboration : Work closely with various IT Teams (DevOps, RPA, EMS, InfoSec) to ensure smooth deployment and continuous improvement.
- Compliance : Ensure data security and compliance as per defined InfoSec standards.
Qualifications :
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- A minimum of 5 years of experience with Elasticsearch and the ELK Stack.
- Strong understanding of RESTful APIs, webhooks, and data transformation techniques.
- Knowledge of programming and scripting languages like Python, Ruby, or Shell.
- Familiarity with cloud platforms like Azure and understanding of on-premises data center operations.
Nice to Haves :
- Elastic Certified Engineer Certification
- Experience with Business Intelligence tools and techniques.
- Familiarity with other data ingestion and transformation tools.