Elastic Cloud Engineer

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?

If yes, then this is the job you're looking for ,webook.com is Saudis #1 private event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing half a billion in sales. webook.com is part of the Supertech Group also consisting of UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.

Job Description:

We are seeking a skilled Elastic Cloud Engineer to join our growing team. The ideal candidate will have extensive hands-on experience with Elastic Cloud, Elasticsearch, Kibana, and data pipelines. In addition, expertise in working with BigQuery, MongoDB, and SQL queries is highly desirable. Experience with GoLang development is a plus, providing further enhancement to our data and reporting capabilities. You will be responsible for managing Elasticsearch clusters, designing dashboards, building reports, and integrating data from multiple sources.

Key Responsibilities:

• Elastic Cloud Administration:
• Deploy, configure, and manage Elastic Cloud infrastructure.
• Monitor, troubleshoot, and optimize Elasticsearch clusters for performance, security, and scalability.
• Manage index lifecycle, configure efficient indexing strategies, and ensure high data availability.
  
• Kibana Dashboards & Reporting:
• Design and maintain Kibana dashboards for real-time data visualization and insights.
• Develop complex queries and visualizations using Elasticsearch and Kibana.
• Automate and generate reports based on Elasticsearch data, ensuring they align with business requirements.
  
• Data Pipeline Management:
• Design, build, and manage scalable data pipelines for ingesting, processing, and transforming data from various sources into Elasticsearch.
• Integrate data from sources such as BigQuery, MongoDB, and SQL-based databases into Elasticsearch for real-time analysis.
• Ensure the smooth flow of data across systems and maintain data consistency and quality.
  
• BigQuery, MongoDB, and SQL Integration:
• Extract, transform, and load data from BigQuery, MongoDB, and relational databases (using SQL queries).
• Write and optimize SQL queries for integrating structured data from relational databases into Elasticsearch.
• Work with unstructured and semi-structured data stored in MongoDB, ensuring efficient queries and transformations.
  
• GoLang Development (Plus):
• Assist in developing backend applications using GoLang to improve data manipulation, real-time analytics, and report generation.
• Build and integrate services that interface with Elasticsearch, BigQuery, and other data platforms.
  
• Data Security & Compliance:
• Implement security best practices for Elasticsearch, including access control, encryption, and authentication (X-Pack, TLS).
• Ensure compliance with industry regulations for data privacy and implement effective backup/recovery solutions.
  
• Collaboration & Documentation:
• Collaborate with data engineering, BI, and DevOps teams to ensure smooth integration of Elasticsearch with other data platforms.
• Document processes, configurations, and operational guidelines for managing the Elastic Cloud infrastructure and associated data pipelines.
  
  
  

Requirements:

• 3+ years of hands-on experience with Elastic Cloud, Elasticsearch administration, and Kibana.
• Strong expertise in building Kibana dashboards, visualizations, and generating reports.
• Experience with Elasticsearch indexing, cluster management, and performance optimization.
• Proficiency in building and managing data pipelines, particularly with BigQuery, MongoDB, and SQL databases.
• Strong SQL query writing skills and experience working with relational databases.
• Hands-on experience with GoLang development (a plus).
• Familiarity with DevOps practices, CI/CD pipelines, and cloud infrastructure for Elastic Cloud.
• Knowledge of security features for Elasticsearch (TLS, X-Pack) and data protection best practices.
• Excellent problem-solving and analytical skills with a focus on performance tuning and optimization.
• Strong communication skills and ability to work in a collaborative, fast-paced environment.
  
  
  

Preferred Qualifications:

• Experience with data pipeline tools such as Logstash, Beats, or similar.
• Experience with cloud platforms (AWS, GCP, or Azure) for hosting and scaling Elasticsearch clusters.
• Familiarity with ETL processes and working with large datasets in BigQuery and MongoDB.
• Experience with API development and integrations using GoLang or similar technologies.