Aktualne
Full time, Zdalnie
Opublikowano 2 tygodnie temu
For an global company specializing in IT infrastructure management services, we are seeking a candidate for the position of Data Analyst.
Requirements:
- can you write Regex – write code
- forward slash vs back slash
- azure promoter & pipelines
- SIEM knowledge and experience
- • Data savviness. You know your way with data and getting all the insights out. Keen on finding the ‘real’ problem that needs to be solved. Relentless but friendly, following processes
- Communication and Data Visualization: Knowing Your Audience
- Data engineering. Implementing data analytics from source to consumption
- Knowledge of Azure related pipelines is preferred
- Understanding of security logging in diverse formats and schema’s
- Data Wrangling. KQL, Regex, Grok
- Experience with SIEM solutions and detection engineering (3 years or more)
- And it would be great if you have some typical domain knowledge too like
- Internet technology: networks, web applications, http, json, xml
- Information security: identity and access, cybercrime, cyber security
- Banking or financial sector
- Agile-scrum way of working
- Scale out logging usage by normalizing raw logs to a standardized schema
- Utilize Microsoft tooling within the Azure landscape through a manual process
- Place normalization configuration within the Azure Monitor data pipeline
- Identify necessary fields and values for normalization
- Perform transformations using KQL and Regex concepts
- Generate configurations based on a small sample of logs
- Apply configurations directly within the data pipeline
Smart results:
- at least 60% of the security log schema’s identified for 150 application are normalized by EOY
- testing the security log normalization
- applying of the configuration in the pipeline
- validation of the security log normalization with the relevant stakeholders
- ensuring data quality over-time including preventing dropping of security logs
Stable employment conditions – the offer assumes long-term cooperation based on B2B or UoP.
The cooperation is in a remote form.
Dimensions of hours: Full-time.
Recruitment is one-stage, final feedback within 1 week after the interview.
Cechy oferty pracy
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