Associate Data Engineer Full Time

About Company :

Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) 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. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Job Description :

We’re 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 :

Responsibilities

• 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

What We’re 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