
1001 - 5000 employees
Founded 1985
đ Cybersecurity
đ° 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.
đĽ 12 hours ago
đşđ¸ United States â Remote
â° Full Time
đ˘ Junior
đĄ Mid-level
đ° Data Engineer
đŤđ¨âđ No degree required
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1001 - 5000 employees
Founded 1985
đ Cybersecurity
đ° 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.
⢠Contribute to data modeling for identity security use cases and analytical requirements ⢠Develop and maintain data pipelines integrating complex information from disparate systems into the data lake ⢠Optimize data workloads and improve processing efficiency ⢠Identify process improvement opportunities with senior engineers and help implement solutions ⢠Apply monitoring and observability practices to ensure pipeline performance ⢠Assist with ML Operations to optimize model efficiency ⢠Use CI/CD practices to develop and release source code ⢠Participate in code reviews and collaborate with team members to improve engineering practices ⢠Build and enhance BeyondTrust's data lake, which processes billions of events daily ⢠Maintain and optimize existing infrastructure and build new data assets
⢠Programming and technology knowledge in cloud data processing ⢠Spark experience needed; Databricks knowledge is a plus ⢠Ability to learn fast and strong desire to develop ⢠Interest in cybersecurity; identity security interest preferred ⢠Understanding of software engineering principles, data structures, and distributed data processing concepts ⢠Experience working with distributed systems and data processing on object stores ⢠Ability to work autonomously and collaboratively ⢠Experience with data warehousing for analytics use cases ⢠Proficiency in Python or another object-oriented language ⢠Distributed processing framework experience ⢠Realtime processing experience highly preferred ⢠Some experience with graph data stores ideal
⢠Culture of flexibility, trust, and continual learning ⢠Recognition for employee growth and impact ⢠Diverse and inclusive workplace culture
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