Data Engineer

Global startup in the field of Behavioral Biometrics, developing technology that analyzes unique user behavior patterns using deep learning to determine whether actions are authentic or potentially fraudulent.

The company has approximately 300 employees worldwide, with the R&D center located in Tel Aviv, offering a hybrid work model with 2 days remote.

The company has raised over $250M and was recently acquired at a $1.3B valuation, with plans to accelerate growth and expansion in the coming years. Its clients include some of the world’s leading financial institutions.

The role is part of a team responsible for building data architecture and implementing best practices.

Full Technology Stack: Azure, GCP, Databricks, Snowflake, Airflow, Spark, Kafka, Kubernetes, Neo4j, Aerospike, ELK, DataDog, Microservices, Python, SQL.

Requirements:

• 5 years of experience as a Data Engineer / Big Data Engineer
• Strong development experience in Python
• Experience with Snowflake, Delta Lake, Iceberg, BigQuery, Redshift, or PySpark
• Experience developing in Cloud environments