Elasticsearch Architect - Bengaluru, India - iQuanti

iQuanti Bengaluru, India

1 week ago

Description

Job Description:
Elasticsearch Architect (Freelancing Opportunity)
Immediate joiner preferred. Interested candidates can send their resume on

iQuanti is looking for an Elasticsearch Architect. You will be responsible for the development and implementation of Elasticsearch solutions across client projects.

Your expertise in search engine technologies and database design will be essential for designing scalable, high-performance solutions that meet our business needs.

Key Responsibilities:
Design and Architecture
Design scalable Elasticsearch solutions that meets client's technical and business requirements.
Optimize the architecture for high performance and high availability.
Develop data indexing strategies and create effective search algorithms.
Implementation and Development
Integrate Elasticsearch with other services like Logstash, Kibana, and Beats for end-to-end log analysis and visualization solutions.
Develop and maintain the pipelines for data ingestion and processing.
Performance Tuning and Scalability
Monitor system performance, adjust architectures as needed, and perform fine-tuning and capacity planning.
Implement security and compliance protocols.
Documentation and Reporting
Document architectures, procedures, and processes for deployment and maintenance.
Prepare reports on system performance, incident resolutions, and future recommendations.

Skill Requirements:
Proficient in Elasticsearch, Logstash, and Kibana (ELK stack).
Strong background in big data technologies and database principles.
Experience in programming languages like Java, Python, or Scala.
Familiarity with Linux/Unix-based systems.
Knowledge of API development for data integration.
Experience in advanced search engine features like machine learning-based predictions and anomaly detection.

Desired profile:
or master's degree in computer science, Information Technology, or a related field.
least 5 years of experience in architecting and implementing search engine platforms, preferably Elasticsearch.
track record in high availability systems and scalability optimizations.
in system monitoring tools and automated testing frameworks.
problem-solving and analytical skills.
communication and interpersonal skills.
in Elasticsearch and cloud technologies (good to have)

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