About Zscaler
Zscaler (NASDAQ: ZS) accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange is the company’s cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
With more than 10 years of experience developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances.
Zscaler was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. Zscaler’s purpose-built security platform puts a company’s defenses and controls where the connections occur—the internet—so that every connection is fast and secure, no matter how or where users connect or where their applications and workloads reside.
The Big data engineer will create the next generation of Zscaler's security analytics platform. The candidate will help build a platform to collect and ingest several billion (and growing) log events from Zscaler's globally distributed security infrastructure and provide actionable insights to customers and Zscaler's security researchers.
Responsibilities:
- Design and build multi-tenant systems capable of loading and transforming large volumes of structured and semi-structured fast moving data
- Build robust and scalable data infrastructure (both batch processing and real-time) to support needs from internal and external users
- Implement measures to address data privacy, security and compliance
- Work with product management, marketing, security research teams to identify requirements and evolve data architecture
Required:
- hands-on experience working with software development and enterprise data warehouse solutions
- experience in building high performance data processing infrastructure taking into account concurrency, latency and efficiency by profiling, reviewing logs etc
- working with query engines such as Presto, Hive or Spark SQL
- Identify the right kind of data serialization techniques and data stores for persisting events
- Ability to set-up a Hadoop cluster from scratch and maintain, troubleshoot and tune by reviewing logs from various Hadoop services
- Strong understanding of the Hadoop stack - HDFS, map-reduce, YARN/Mesos, Zookeeper
- Working with data processing frameworks such as Spark, Kafka, Elasticsearch for 2+ years
- Experience architecting systems following the REST architectural style
- Excellent interpersonal, technical and communication skills
- Ability to learn, evaluate and adopt new technologies
- Ability to prioritize multiple tasks in a fast-paced environment
- Bachelor's Degree in computer science or equivalent experience
Highly Desirable:
- Experience working with AWS - EC2, S3, EMR, Redshift, etc.
- Experience working with Spark
- Basic understanding of statistical analysis.
- Practical experience with the Scala programming language
- Application of machine learning to security log analytics
#LI-AZ2
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status or any other characteristics protected by federal, state, or local laws.
See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules. For additional information about the federal requirements, click here.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
