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- Tasks: Join us as an Elastic Engineer to build and maintain data pipelines using ELK.
- Company: Be part of a forward-thinking tech company that values innovation and collaboration.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: This role offers hands-on experience with cutting-edge technology and a chance to make a real impact.
- Qualifications: You need 8 years of experience with ELK, cloud exposure, and strong data engineering skills.
- Other info: Ideal for those passionate about data and security in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
Minimum years of experience: 8 years of experience with Elastic Search, Kibana, Logstash
Detailed job description
Mandatory Skills:- Elastic
- Kibana
- Logstash (ELK)
- Candidate should have 8 years of relevant experience in ELK
- Candidate should be able to develop/build the required pipeline for data ingestion using Logstash component
- Candidate should have implementation experience in ELK
- If candidate has just done monitoring of existing ELK setup, that will not be useful
- Candidate should have exposure to cloud and Kafka
- Also should have exposure to security domain
- Strong understanding of Elastic - Elastic Search, Kibana, Logstash, Fleet and other integrations
- Data Engineering skill set to design and develop pipelines to ingest data into Elastic
- Cloud & Domain aware
- Building all the required pipeline for data ingestion
- Setting up ELK stack
- Analyzing and sharing insight to stakeholders
- Maintaining the ELK stack
Elastic Engineer employer: eTeam
Contact Detail:
eTeam Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Elastic Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with Elastic Search, Kibana, and Logstash during any networking opportunities. Engage in discussions about specific projects where you've built or maintained ELK stacks, as this will demonstrate your practical knowledge.
✨Tip Number 2
Connect with professionals in the data engineering and cloud domains on platforms like LinkedIn. Join relevant groups and participate in discussions to increase your visibility and potentially get referrals for the Elastic Engineer position.
✨Tip Number 3
Stay updated on the latest trends and updates in the ELK stack and related technologies. Being knowledgeable about recent developments can give you an edge in interviews and show your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss your experience with data ingestion pipelines and how you've tackled challenges in previous roles. Be ready to provide examples of how you've optimised performance or resolved issues within the ELK stack.
We think you need these skills to ace Elastic Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 8 years of experience with Elastic Search, Kibana, and Logstash. Include specific projects where you developed data ingestion pipelines and any relevant cloud or Kafka exposure.
Craft a Strong Cover Letter: In your cover letter, emphasise your hands-on experience with the ELK stack and your ability to analyse and share insights with stakeholders. Mention your understanding of security domains and how it relates to the role.
Showcase Relevant Projects: If you've worked on specific projects involving the ELK stack, detail these in your application. Describe your role, the challenges faced, and the outcomes achieved to demonstrate your expertise.
Highlight Data Engineering Skills: Since the role requires data engineering skills, make sure to mention any experience you have in designing and developing data pipelines. This will show that you are well-rounded and capable of fulfilling the job requirements.
How to prepare for a job interview at eTeam
✨Showcase Your ELK Expertise
Make sure to highlight your extensive experience with Elastic Search, Kibana, and Logstash. Be prepared to discuss specific projects where you developed or built data ingestion pipelines using Logstash, as this is crucial for the role.
✨Demonstrate Cloud and Kafka Knowledge
Since exposure to cloud technologies and Kafka is essential, be ready to explain how you've integrated these tools in past projects. Share examples of how you've leveraged cloud services to enhance ELK stack performance.
✨Discuss Security Domain Experience
Given the importance of security in this role, prepare to talk about your experience in the security domain. Discuss any relevant projects where you implemented security measures within the ELK stack or related systems.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of the ELK stack and data engineering principles. Brush up on key concepts and be ready to solve problems on the spot, demonstrating your analytical skills and technical prowess.
