Data Engineer

Company centralizes and simplifies all the metrics used by Shopify sellers, enabling them to save more time and make more money. We help e-commerce businesses accurately track and forecast all kinds of metrics, including changes in profits and operational metrics. Our goal is to infuse AI into e-commerce, empowering shops to have an accurate picture of their business and make optimal choices that boost their bottom line. Responsibilities * Build and maintain our data repositories with timely and quality data * Build and maintain data pipelines from internal databases and SaaS applications * Create and maintain architecture and systems documentation * Write maintainable, performant code * Implement the DevOps, DataOps and FinOps philosophy in everything you do * Collaborate with Data Analysts and Data Scientists to drive efficiencies for their work * Collaborate with other functions to ensure data needs are addressed * Constantly search for automation opportunities * Constantly improve product quality, security, and performance * Desire to continually keep up with advancements in data engineering practices Qualifications * At least 3 years of professional experience building and maintaining production data systems in cloud environments like GCP * Professional experience using JavaScript and/or other modern programming language * Demonstrably deep understanding of SQL and analytical data warehouses * Experience with NOSQL databases, eg: ElasticSearch, Mongo, Firestore, BigTable * Hands-on experience with data pipeline tools (eg: Dataflow, Airflow, dbt) * Strong data modeling skills * Experience with MLOps - advantage * Familiarity with agile software development methodologies * Ability to work 3 days a week in-office (Jerusalem or Bnei Brak)