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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 Saudi’s #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 BigQueryMongoDB, 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 BigQueryMongoDB, 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 BigQueryMongoDB, 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 engineeringBI, 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.

  • 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 BigQueryMongoDB, 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 LogstashBeats, 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.

Average salary estimate

$75000 / YEARLY (est.)
min
max
$60000K
$90000K

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What You Should Know About Elastic Cloud Engineer, webook.com

Are you ready to elevate your career as an Elastic Cloud Engineer with webook.com? We are seeking talented individuals who are passionate about technology, eager to make an impact, and excited to be part of a dynamic team that’s transforming the events industry in Saudi Arabia! At webook.com, we pride ourselves on being the leading private event ticketing and experience booking platform, and our innovative use of technology is a key driver of our success. As an Elastic Cloud Engineer, you will dive deep into managing Elasticsearch clusters, creating stunning dashboards with Kibana, and designing robust data pipelines that improve our data reporting capabilities. Your expertise in data integration—from BigQuery to MongoDB—will be invaluable, and if you have GoLang development skills, you’ll be able to take our backend applications to new heights. You’ll be responsible for not only deploying and optimizing Elastic Cloud infrastructure but also crafting real-time data visualizations that inform our critical business decisions. Collaboration is at the heart of our team culture, so you’ll work closely with data engineering, BI, and DevOps teams to ensure seamless integration of Elasticsearch with various data tools. We’re looking for someone with 3+ years of hands-on Elastic Cloud and Elasticsearch experience who thrives in a fast-paced, forward-thinking environment. Ready to leave boring behind and dive into an exhilarating role? Come join us at webook.com and help us shape the future of events in the Kingdom!

Frequently Asked Questions (FAQs) for Elastic Cloud Engineer Role at webook.com
What qualifications do I need to apply for the Elastic Cloud Engineer position at webook.com?

To apply for the Elastic Cloud Engineer role at webook.com, you should have a minimum of 3 years of hands-on experience with Elastic Cloud and Elasticsearch administration. Strong skills in designing Kibana dashboards and managing data pipelines, especially with BigQuery, MongoDB, and SQL, are crucial. Familiarity with GoLang development is a plus, alongside excellent problem-solving and communication skills.

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What are the primary responsibilities of an Elastic Cloud Engineer at webook.com?

As an Elastic Cloud Engineer at webook.com, you'll be responsible for managing and optimizing Elasticsearch clusters, designing dashboards in Kibana, and developing data pipelines for effective data integration. You’ll also ensure data consistency, quality, and security while collaborating with other teams to streamline data processes.

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What technology stack does webook.com use for the Elastic Cloud Engineer role?

The technology stack for the Elastic Cloud Engineer position at webook.com includes Elasticsearch, Kibana, and data integration tools like BigQuery and MongoDB. Proficiency in SQL queries and GoLang development will enhance your capabilities in this role, allowing you to handle data processing and reporting efficiently.

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Is prior experience with GoLang necessary for the Elastic Cloud Engineer job at webook.com?

While prior experience with GoLang is not strictly necessary for the Elastic Cloud Engineer position at webook.com, it is considered a valuable addition. Proficiency in GoLang can significantly improve our backend development, real-time analytics, and data manipulation efforts, giving candidates with this skill an edge.

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How does webook.com ensure data security and compliance for data processed by Elastic Cloud?

At webook.com, we prioritize data security and compliance in our Elastic Cloud operations. This involves implementing best practices for access control and encryption, utilizing tools like X-Pack and TLS, and ensuring compliance with industry regulations for data privacy to safeguard sensitive information.

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What makes working at webook.com an exciting opportunity for an Elastic Cloud Engineer?

Working at webook.com offers an exciting opportunity for an Elastic Cloud Engineer due to our commitment to innovation and disruption in the event ticketing industry. You’ll work with cutting-edge technology in a collaborative environment, contributing to major events in Saudi Arabia, which brings both impact and personal growth. Plus, you’ll be part of a passionate team that values creativity and fresh ideas.

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What is the team culture like for Elastic Cloud Engineers at webook.com?

The team culture for Elastic Cloud Engineers at webook.com is collaborative and fast-paced. We encourage open communication, teamwork, and creative problem-solving, ensuring that everyone’s contributions are valued. This dynamic environment fosters professional growth and allows our engineers to have a meaningful impact on our technology and customer experiences.

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Common Interview Questions for Elastic Cloud Engineer
Can you explain your experience with Elasticsearch and how you have used it in previous projects?

In your answer, focus on specific projects where you managed an Elasticsearch cluster, detailing your role in configuration, troubleshooting, or optimizing performance. Highlight how you utilized Elasticsearch to solve real-world problems and any metrics showing the impact of your contributions.

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How do you ensure data quality and consistency when integrating with multiple data sources?

Discuss your approach to data quality assurance, emphasizing strategies like validation checks, data cleansing, and monitoring. Share examples where you implemented practices that enhanced data consistency across platforms, possibly leveraging tools or scripts to automate these processes.

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Describe a challenging issue you encountered with Kibana dashboards and how you resolved it.

When answering this question, present a specific challenge related to dashboard performance or data visualization. Describe the steps you took to troubleshoot the issue, including any adjustments to queries or configurations, and the successful outcome of your efforts.

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What strategies do you use for optimizing SQL queries when working with Elasticsearch?

Discuss techniques you apply to optimize SQL queries, such as using indexes, refining joins, and reducing the dataset size before querying. Mention any tools you use for query analysis and provide examples of optimized queries that improved application performance.

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How do you handle security and access control within Elasticsearch environments?

Outline your approach to securing Elasticsearch, including employing access controls, encryption, and monitoring. Highlight your adherence to security best practices, such as implementing TLS or X-Pack, and how you keep up with the latest security compliance requirements.

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Can you discuss your experience with setting up a data pipeline for Elasticsearch?

Provide a detailed description of a data pipeline you've set up, discussing the tools you used (like Logstash or custom scripts), the flow of data from source to Elasticsearch, and any challenges you faced in ensuring timely and consistent data ingestion.

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What is your experience with GoLang in the context of data processing?

Share your experience using GoLang for data processing or integration tasks. Provide examples of projects where you built backend services or automated data workflows, highlighting the efficiencies gained from using GoLang features.

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How do you monitor the performance of Elasticsearch clusters?

Explain the monitoring tools and practices you have implemented to keep track of Elasticsearch performance. Discuss the key performance metrics you monitor regularly, such as response times, query throughput, and resource utilization, and how you respond to any performance issues.

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How do you collaborate with different teams, like DevOps and BI, to ensure smooth data operations?

Discuss your teamwork approach with various departments. Provide examples of projects where collaboration led to successful data integrations or optimized workflows, stressing your communication skills and ability to align goals across teams.

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What future trends do you see influencing the role of an Elastic Cloud Engineer?

Share your insights on future trends, such as advancements in AI and machine learning for analytics, increased cloud adoption, or evolving data privacy regulations. Emphasize your adaptability and willingness to stay updated on these trends to remain effective in your role.

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webook.com is an all-in one exciting social engagement platform for booking experiences and online event tickets for the most interesting events & activities. as firm believers in innovative simplicity, we passionately dedicated webook.com to mak...

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Full-time, remote
DATE POSTED
November 25, 2024

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