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