Zscaler Data Engineering Job Alerts | WFH (Hybrid)

Qualifications

What Zscaler is Looking for (Minimum Qualifications)

• 0-2 years in data warehouse design, development, SQL, and data modeling with proficiency in efficient query writing for large datasets
• Skilled in Python for API integration, data workflows, and hands-on expertise with ELT tools (e.g., Matillion, Fivetran, DBT)
• Extensive experience with AWS services (EC2, S3, Lambda, Glue) and CI/CD processes, Git, and Snowflake concepts
• Knowledge of CI/CD processes, & Git. Eagerness to learn GenAI technologies
• Strong analytical skills and an ability to manage multiple projects simultaneously.

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Data Mesh architecture
• Knowledge of foundational concepts of machine learning models.

Job Description & Responsibilities:

Zscaler is looking for an experienced  Associate Data Engineer, Enterprise Data Platform to join our IT/Data Strategy team. Reporting to the Staff Data Engineer, you will be responsible for :

• Designing constructing and maintaining efficient data pipelines and integrations to address the organization’s analytics and reporting needs
• Partnering with architects, integration, and engineering teams to gather requirements and deliver impactful and reliable data solutions
• Identifying and source data from multiple systems, profiling datasets to ensure they support informed decision-making processes
• Optimizing existing pipelines and data models while creating new features aligned with business objectives and improved functionality
• Implementing data standards, leverage cloud and big data advancements, and use tools like Snowflake, DBT, and AWS to deliver innovative data solutions