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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