Data Engineer - Remote

Capitole
Pontevedra, Spain
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English

Tech stack

JavaScript (Programming Language) Agile Methodology Amazon Web Services Microsoft Azure Bash Shell Cyber Security Information Engineering Data Normalization Linux Python (Programming Language) Parsing Regular Expressions
+5 more
Security Information and Event Management Data Logging Scripting Cloud Platform System Splunk

Job description

Are you experienced in SIEM environments and passionate about security data engineering?At Capitole, we are looking for a SIEM Data Engineer (M/F) to join an international project, working on the ingestion, transformation and normalization of security-relevant data and logs.Creating parsers and normalizing log data.* Defining data models and supporting SIEM security use cases.* Working with Splunk / Elastic , cloud environments and automation technologies.* Supporting the continuous evolution of security data and logging platforms.? Experience with Splunk and/or Elastic .* Strong knowledge of logs, parsers, Regex and data normalization.* Experience with Linux/Windows environments and networking.* Scripting skills with Python, Bash/Shell or JavaScript .* Knowledge of cloud environments such as AWS, Azure or GCP .* Advanced English 100% remote from Spain with a permanent contract.Exciting projects, cutting-edge technologies, and agile methodologies.1,200 per year for training of your choice.Flexible working hours.More than 550 qualified professionals representing up to 24 nationalities.Private medical insurance.Sharing knowledge across the company is essential to us!SIEM #DataEngineer #CyberSecurity #Cribl #Splunk #SecurityEngineering #Python #Cloud #RemoteJobs #TechJobs #Capitole The employee will adhere to information security policies: -Will have access to confidential information related to Capitole and the project they are working on.-

Requirements

? Experience with Splunk and/or Elastic .

  • Strong knowledge of logs, parsers, Regex and data normalization.
  • Experience with Linux/Windows environments and networking.
  • Scripting skills with Python, Bash/Shell or JavaScript .
  • Knowledge of cloud environments such as AWS, Azure or GCP .

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