Data Engineer

We are looking for a Data Engineer with proven hands-on experience in Python, Apache Spark and SQL to join a data team building the data infrastructure behind a large-scale, consumer-facing product. The role includes developing and maintaining data pipelines and ETL/ELT processes, data modeling, and working with large volumes of data in a cloud environment, preferably on Databricks. We are looking for a candidate with a strong ability to learn, professional independence, and a passion for clean, reliable and efficient data solutions. Responsibilities Develop and maintain data pipelines and ETL/ELT processes in Python and Spark Write complex, efficient SQL queries and build data models Work with large-scale data in a cloud environment (Databricks) Collaborate with analysts, data scientists and product teams Improve the performance, reliability and quality of data processes Requirements 2–3 years of experience as a Data Engineer At least 2 years of hands-on development experience in Python At least 2 years of hands-on development experience with Apache Spark / PySpark At least 2 years of hands-on development experience in SQL Experience working in a cloud environment (AWS / Azure / GCP) Experience developing ETL/ELT processes and data pipelines Native-level Hebrew Nice to have Hands-on experience with Databricks Experience working with a Data Warehouse / Data Lake