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: Associate Data Engineer
Responsibilities/What You’ll Do
- Support the evaluation and implementation of the current and future data applications/technologies to support the evolving Zscaler business needs.
- Collaborate with IT business engagement & applications engineer teams, enterprise data engineering and business data partner teams to identify data source requirements.
- Profile and quantify quality of data sources, develop tools to prepare data and build data pipelines for integrating into Zscaler’s data warehouse in Snowflake.
- Continuously optimize existing data integrations, data models and views while developing new features and capabilities to meet our business partners needs.
- Work with Data Platform Lead to design and implement data management standards and best practices.
- Continue to learn and develop next generation technology/ data capabilities that enhance our data engineering solutions.
- Develop large scale and mission-critical data pipelines using modern cloud and big data architectures.
Qualifications/Your Background:
- 0 to 3 years of experience in data warehouse design & development.
- Proficiency in building data pipelines to integrate business applications (salesforce, Netsuite, Google Analytics etc) with Snowflake
- Must have proficiency in data modeling techniques (Dimensional) – able to write structured and efficient queries on large data sets
- Must have hands-on experience in Python to extract data from APIs, build data pipelines.
- Completely proficient in advanced SQL, Python/Snowpark(PySpark)/Scala (any Object Oriented language Concepts), ML libraries.
- Strong hands-on experience in ELT Tools like Matillion, Fivetran, Talend, IDMC (Matillion preferred) , data transformational tool – DBT and in using AWS services like EC2, s3, lambda, glue.
- Knowledge of data visualization tools such as Tableau, and/or Power BI
- Must demonstrate good analytical skills, should be detail-oriented, team-player and must have ability to manage multiple projects simultaneously.
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.
