Security Data Analyst - Parsing
S
SpyCloudCybersecurity
The ideal candidate for this role would work hybrid (2 days per week) in our Austin, Texas headquarters. We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarterFull-TimeMiddle
Salary111,000 - 144,000 USD per year
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Job Details
- Experience
- 5-7 years
- Required Skills
- AWSPythonSQLBashData AnalysisETLNosqlCI/CDLinux
Requirements
- 5-7 years of professional experience as a Python developer.
- Thorough understanding of Python, data analysis techniques, and ETL patterns.
- Proficient in Linux bash/ksh scripting and Regular Expressions.
- Strong understanding of computer science fundamentals including data structures, algorithms, and data processing.
- Experience with relational and NoSQL databases.
- Experience building data solutions and automation tools using Python.
- Excellent communication skills.
- Ability to switch contexts as business needs change.
- Experience with AWS compute, storage, and database services is preferred.
- Familiarity with Git version control, Terraform, and Ansible is preferred.
Responsibilities
- Parse, clean, and transform structured and unstructured datasets to the spycloud schema.
- Build Python-based automation for the parsing platform.
- Bring order to dirty and/or unstructured data.
- Develop ETL-style automation scripts.
- Monitor the ingestion process for issues.
- Collaborate with the team to design and build innovative data systems.
- Analyze data based on the consumption of blogs for the marketing team.
- Develop processes, standards and CI/CD pipelines to manage our codebase.
- Leverage AI to help automate parsing dirty datasets
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