Data Engineer

• Design, build, and maintain scalable and reliable data pipelines and ETL processes.
• Implement CI/CD for data workflows, ensuring version control, testing, and automated deployments.
• Optimize and manage our Snowflake environment for performance, cost efficiency, and scalability.
• Develop and enhance data observability solutions to proactively detect and resolve data issues.
• Support major initiatives, including the migration of embedded analytics and semantic layer implementation.
• Maintain high standards of data quality, governance, and integrity, ensuring reliable analytics for both internal and customer-facing use cases.
• Work closely with data analysts, product teams, and engineers to deliver high-impact insights and scalable solutions.

• Strong proficiency in SQL (and Python) for data engineering tasks.
• 5+ years of experience in data engineering, analytics engineering, or a related field.
• Hands-on experience with Snowflake or other cloud data warehouses.
• Familiarity with data automation, orchestration tools, and workflow scheduling (e.g., Airflow, dbt).
• Experience implementing CI/CD for data (version control, automated testing, deployment pipelines).
• Strong understanding of data modeling best practices and performance optimization techniques.
• Excellent communication skills, with the ability to work cross-functionally and translate complex data concepts into actionable business insights.

• AI-first approach.
• Familiarity with BI tools (e.g., AWS QuickSight) and building semantic layers for analytics.
• Experience with observability tools.
• Knowledge of machine learning pipeline deployment for production use cases.
• Understanding of statistics and experimentation (A/B testing).
• Passion for eCommerce and experience in a fast-paced startup environment.
• Domain knowledge in logistics, web analytics, and e-commerce.

• רקע בכתיבת sql server ברמה טובה מאד! ...

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