Sr. Data Engineer
San Jose, CA, United States
Zscaler
Zscaler is the leader in cybersecurity and zero trust digital transformation. Transform your IT and security needs with the best CASB and SASE solutions.Company Description
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
Job Description
Position: Sr. Data Engineer
Location: Remote within United States
About the team: As part of the IT group, we are responsible for executing our enterprise data strategy which emphasizes data management maturity, fosters a robust data culture, and architects a best-in-class enterprise data platform. We have the ultimate goal to provide trusted data and insights at scale which enable corporate and functional data-driven decision making. We are fueled by organic innovation, internal collaboration and adoption of data visualization, data management, reporting automation, AI/ML and integration tools. We leverage best practices and alignment through our Enterprise Data Community to deliver speed to insight, scale, control and enablement. The team is distributed across the United States and India and is composed of data engineers, data analysts, visualization developers, and infrastructure specialists.
Responsibilities/What You’ll Do:
- Collaborate with Data & Technical architects, integration and engineering teams to capture inbound/outbound data pipeline requirements, conceptualize and develop solutions.
- 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 Principal Engineer/ 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
Qualifications/Your Background:
- 8+ years of experience in data warehouse design & development.
- Strong experience in integrating internal and external business applications (salesforce, Netsuite, Google Analytics etc) with cloud data platforms like Snowflake.
- Proficiency in SQL and ability to perform complex modeling with large volumes of data.
- 3+ years of experience with Python.
- Required Experience with any industry standard ETL & data integration platforms like Matillion, Workato, Dell Boomi.
- Experience with Big Data technologies like Hadoop.
- Experience with data orchestration to like Apache Airflow a plus.
- Experience with resolving workflow and data quality issues associated with production grade large scale cloud systems.
- Strong capacity to manage multiple projects simultaneously.
Additional Information
All your information will be kept confidential according to EEO guidelines.
#LI-YC2
#LI-Remote
What You Can Expect From Us:
- An environment where you will be working on cutting edge technologies and architectures
- A fun, passionate and collaborative workplace
- Competitive salary and benefits, including equity
Why Zscaler?
People who excel at Zscaler are smart, motivated and share our values. Ask yourself: Do you want to team with the best talent in the industry? Do you want to work on disruptive technology? Do you thrive in a fluid work environment? Do you appreciate a company culture that enables individual and group success and celebrates achievement? If you said yes, we’d love to talk to you about joining our award-winning team.
Additional information about Zscaler (NASDAQ: ZS ) is available at https://www.zscaler.com.
Zscaler is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture Big Data Data management Data pipelines Data quality Data strategy Data visualization Data warehouse Engineering ETL Excel Hadoop Machine Learning Matillion Pipelines Python Security Snowflake SQL
Perks/benefits: Competitive pay Equity
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