wiz.io - Data Engineer

• Bachelor’s or Master’s degree in a relevant technical field, or equivalent hands-on experience in software development or DevOps. • 3+ years of experience working as a Data Engineer, including end-to-end designing, orchestrating, and building cloud-based data pipelines (e.g., Airflow, Prefect, Dagster). • 3+ years of experience with dimensional data modeling and data warehouse implementation, specifically MPP databases like BigQuery, Snowflake, and Redshift. • Strong knowledge of Python and Python-based data analysis tools such as Jupyter Notebooks and pandas. • Strong SQL writing skills. Ability to write highly performant queries. • Strong track record of executing projects independently in dynamic environments. • Fast understanding of data and business needs and ability to translate them into data models. • Team player with excellent communication skills. • Containerization (Docker): Essential for reproducible environments. • Knowledge of software engineering best practices: CI/CD concepts, code reviews, and unit testing. • ADVANTAGE • Production-level experience with dbt, including project design, transformation, testing, and documentation. • Infrastructure-as-Code (Terraform): Managing cloud resources (S3 buckets, IAM roles) via code. • CI/CD pipelines (GitHub Actions/Jenkins): Automating the testing and deployment of data models. • By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz. • Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship.