BeyondTrust
1001 - 5000 employees
Founded 1985
🔒 Cybersecurity
💰 Private Equity Round on 2021-05
Cybersecurity
BeyondTrust is a company that specializes in providing cybersecurity solutions. They focus on offering products and services that protect organizations from internal and external threats, and their solutions often involve privileged access management to secure and manage the identities and credentials of users accessing critical systems and data.
Senior Data Engineer
🕒 April 1
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BeyondTrust
1001 - 5000 employees
Founded 1985
🔒 Cybersecurity
💰 Private Equity Round on 2021-05
Cybersecurity
BeyondTrust is a company that specializes in providing cybersecurity solutions. They focus on offering products and services that protect organizations from internal and external threats, and their solutions often involve privileged access management to secure and manage the identities and credentials of users accessing critical systems and data.
📋 Description
• Take ownership of data modelling to solve complex identity security problems. • Solve complex analytical problems across disparate systems to provide a unified view of security posture in the datalake • Optimize data workloads at a software level by improving processing efficiency. • Identify opportunities for engineering process improvement and collaborate with senior resources to execute a plan of action. • Use monitoring and observability best practices to ensure optimal pipeline performance. • Assist with ML Operations to ensure optimal model efficiency. • Leverage CI/CD best practices to effectively develop and release source code.
🎯 Requirements
• Strong programming and technology knowledge in cloud data processing. • Spark experience is needed, existing Databricks knowledge is a plus. • Interest and aptitude for cybersecurity; interest in identity security is highly preferred. • Technical understanding of underlying systems and computation minutiae. • Experience working with distributed systems and data processing on object stores. • Ability to work autonomously
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