Data Engineer

A pioneering global leader in the field of Behavioral Biometrics, developing technology that analyzes unique user behavior patterns using deep learning tools to identify whether the behavior is authentic or indicative of potential fraud. Among the company’s clients are some of the world's top financial institutions, including Citibank, Barclays, and others.

The company has raised over a quarter of a billion dollars and was recently acquired at a valuation of $1.3 billion. They are expected to accelerate their growth and expansion in the coming years.

With approximately 300 employees globally, the R&D center is based in Israel.

The company is located in Tel Aviv near a train station and operates a hybrid work model with two days of remote work.

Job description: As part of a team, the role involves working in a Big Data environment, performing data modeling, and developing ETL processes.

Technology stack: Azure, GCP, Databricks, Snowflake, Airflow, RDBMS, Spark, Kafka, Kubernetes, Microservices, Python, SQL.

Requirements

• 3 Years of Experience in data engineering and big data. - Must

• Experience in working with different databases – Must

• Experience in programming languages (Python, OOP Languages) – Must

• Experience with Data modeling, ETL development, data warehousing – Must