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- Tasks: Build and maintain data ingestion pipelines using ELK stack.
- Company: Join a dynamic team in London, leading the way in data engineering.
- Benefits: Enjoy hybrid work options and a collaborative environment.
- Why this job: Make an impact by analysing data insights and enhancing security measures.
- Qualifications: 8 years of experience with Elastic Search, Kibana, and Logstash required.
- Other info: Ideal for those passionate about cloud technologies and data engineering.
The predicted salary is between 60000 - 84000 £ per year.
Job Description:
Role: Elastic EngineerType: ContractLocation: London, UK (Hybrid)
Job Detail
Minimum years of experience: 8 years of experience with Elastic Search, Kibana LogstashSkills:
Mandatory Skills:ElasticKibanaLogstash(ELK)
Details:
- Candidate should have 8 years of relevant experience in ELK
- S/He should be able to develop/build the required pipeline for data ingestion using Logstash component
- S/He should have implantation 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
Candidate will be responsible
Building all the required pipeline for data ingestion Setting up ELK stack Analyzing and sharing insight to stakeholders Marinating the ELK stack
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Elastic Engineer employer: Infoplus Technologies UK Ltd
Contact Detail:
Infoplus Technologies UK Ltd 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 networking events or meetups. Engaging with professionals in the field can help you gain insights and potentially lead to referrals.
✨Tip Number 2
Join online forums or communities focused on ELK stack technologies. Participating in discussions can not only enhance your knowledge but also put you in touch with industry experts who might know about job openings.
✨Tip Number 3
Consider contributing to open-source projects related to ELK. This will not only improve your skills but also demonstrate your commitment and expertise to potential employers.
✨Tip Number 4
Stay updated on the latest trends and updates in the ELK stack and related technologies like Kafka and cloud services. Being knowledgeable about current developments can give you an edge during interviews.
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. Focus on specific projects where you've 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 any security domain knowledge you possess, as this is crucial for the role.
Showcase Relevant Projects: Include examples of past projects where you built or maintained ELK stacks. Detail your role in these projects and the impact your work had on data ingestion and analysis.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application reflects your attention to detail, which is essential for an Elastic Engineer.
How to prepare for a job interview at Infoplus Technologies UK Ltd
✨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, as this is crucial for the role.
✨Demonstrate Cloud and Kafka Knowledge
Since the role requires exposure to cloud technologies and Kafka, brush up on your knowledge in these areas. Be ready to explain how you've integrated these technologies into your previous work with ELK.
✨Discuss Security Domain Experience
Given the emphasis on security, be prepared to talk about any relevant experience you have in this domain. Share examples of how you've implemented security measures within your ELK stack.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of the ELK stack and data engineering principles. Practise explaining complex concepts clearly and concisely, as you'll need to communicate insights effectively to stakeholders.
