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.
Position Overview:
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, and security research teams to identify requirements and evolve data architecture.
Required Qualifications:
- Hands-on experience working with software development and enterprise data warehouse solutions.
- Experience in building high-performance data processing infrastructure considering 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, MapReduce, 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.
Base Pay Range: $129,500—$170,000 USD
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.
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 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. If you need support, please contact us by sending an email to This email address is used specifically for accommodation requests only, and resumes, CV's, or questions other than accommodations will not be replied to or accepted.
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