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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 ZPA Advanced Analytics team at Zscaler is looking for a Bigdata/Spark Engineer who will help us in the analysis of vast amounts of data, write production grade pipelines, and infrastructure optimization.
What You Will Do
You will be responsible for product features related to data transformations, enrichment, and analytics
You will discuss with product managers, UI, and other backend teams to understand requirements and translate the same into functional specifications
You will seize every opportunity to refactor code in the interests of maintainability and reusability
Lead and provide technical direction and mentorship to junior engineers and bring out the best in them
The ideal candidate has a proven track record of building large scale enterprise products, and is a creative thinker, problem solver, learner, and a fantastic manager of people, and is motivated with engineering excellence.
Responsibilities
- Data mining using state-of-the-art methods
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Ad-hoc analysis and presenting your results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- BTech/MTech in CSE or relevant field from a reputed university.
5+ years of experience in developing and deploying Big data solutionsExperience with Python, PySpark (PySparkSQL), Spark (SparkSQL), SQLExperience with Data visualization tools / Data visualization algorithms
- Understanding and sense of data-warehousing and data-modeling techniques
- Strong understanding of distributed systems, real-time analytics
- Experience with stream-processing technologies like Apache Kafka and Apache Flink
- Skill of self/unit testing and feature verification
- Experience with data engineering tasks or working with data engineers
- Good interpersonal skills and positive attitude
- Experience with cloud environments AWS/Azure/GCP
Experience with Kubernetes, DockersBasic knowledge of Java and Microservices
- (Plus+ and optional) Pipeline orchestration tool Kubeflow
- (Plus+ and optional) basic ML/AL knowledge and experience working with ML engineers or Data scientists
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.
