Principal Software Development Engineer at ZSCALER INC

, , -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Apache Spark, Databricks, Delta Lake, SQL, Data Modeling, Data Warehousing, Data Lake Architecture, Cybersecurity, Threat Intelligence, Data Quality, Data Integrity, Mentoring, Collaboration, Technical Standards

Industry

Computer and Network Security

Description

About Zscaler Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges and want to make a positive difference on a global scale, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We are seeking a passionate Principal Data Engineer to join our growing team. You will play a key role in designing, building and maintaining the data pipelines that fuel our business insights. Design, develop, and implement scalable resilient data pipelines using Apache Spark, Databricks and Delta Lake. Lead projects end-to-end through implementation, testing, deployment and monitoring while working with other engineering teams across the organization. Demonstrate full ownership and ensure data quality and integrity throughout the data lifecycle. Research and investigate new SaaS platforms. Take the lead in analyzing their APIs, data structures, and security configurations to uncover opportunities for new security detections. Optimise data infrastructure, ensuring its smooth operation, and performance efficiency. Collaborate with the PM team to understand and formalize business needs, and translate them into technical solutions. Act as a force multiplier by mentoring senior engineers, and setting technical standards. Minimum Qualifications: 7+ years of experience in data engineering, with a proven track record of designing and building large-scale data systems. Demonstrated mastery of Apache Spark (PySpark preferred) and a deep, architectural understanding of distributed data processing frameworks. Expert-level proficiency in SQL, data modeling, and the principles of modern data warehousing and data lake architecture. Preferred Qualifications: Direct experience working in cybersecurity, threat intelligence, or a related security-focused domain. Proven experience building data solutions using Databricks. A security-first mindset and a strong curiosity for understanding how systems can be monitored and secured. #LI-Hybrid #LI-MP1 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here. 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 committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered 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 characteristic 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. 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.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Design, develop, and implement scalable data pipelines while leading projects from implementation to monitoring. Collaborate with teams to understand business needs and ensure data quality throughout the data lifecycle.