Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Candidates should possess 5-7 years of professional experience as a Python developer, a love of working with data and familiarity with cleaning/transforming data, experience building data solutions and automation tools using Python, proficiency in Linux bash/ksh scripting and Regular Expressions, an interest in cybersecurity, a strong understanding of computer science fundamentals, and experience with relational and NoSQL databases. Excellent communication skills, being a great team player, self-directed, empathetic, and eager to automate repetitive tasks, and the ability to switch contexts as business needs change are also required.
The Senior Security Data Analyst will parse and transform structured and unstructured datasets, build Python-based automation for the parsing platform, bring order to dirty and/or unstructured data, develop ETL-style automation scripts, maintain and improve the existing codebase and infrastructure, manage the weekly data ingestion process, collaborate with the team to design and build innovative data systems, perform data analysis based on the consumption of blogs for the marketing team, develop processes, standards and CI/CD pipelines to manage the codebase, and leverage AI to automatically parse data.
Cybersecurity for threat intelligence protection
SpyCloud specializes in cybersecurity, focusing on threat intelligence and identity protection for businesses. Its main product, the Cybercrime Analytics Platform, uses data from the dark web to help detect and prevent cyber threats like malware and ransomware. Unlike competitors, SpyCloud offers a comprehensive solution that combines threat intelligence, identity protection, and incident response in one platform. The company's goal is to enable businesses to proactively defend against cyber threats and reduce the risk of data breaches.