The Senior Data Engineer will design scalable data solutions for fraud prevention, manage data pipelines, and recommend technologies, with potential for leadership roles.
A fast-growing fintech AI start-up company, focused on eliminating fraud and chargebacks in online commerce, is looking for an experienced Senior Data Engineer.
In this Roll, you will build large-scale, cutting-edge data solutions for fraud prevention, with the potential to grow into a technical leadership role.
The company is located in Modi'in, central Israel. Hybrid work model.
Responsibilities
- Build and maintain scalable data pipelines and ETL processes.
- Design complex data models and optimize data architecture.
- Collaborate with teams to deliver high-quality, compliant solutions.
- Troubleshoot production issues and implement best practices.
- Recommend new technologies to enhance the data infrastructure.
Must Haves:
- 5+ years in data engineering with strong Python & software engineering skills
- Extensive experience with cloud platforms (AWS, GCP, Azure) and cloud-native architectures
- Deep knowledge of relational (PostgreSQL) and NoSQL databases
- Experience designing and implementing data warehouses and data lakes
- Strong understanding of data modeling techniques
- Expertise in data manipulation libraries (e.g., Pandas) and big data frameworks
- Experience with data validation tools (Pydantic, Great Expectations)
- Proficiency in writing and maintaining unit and integration tests (e.g., Pytest)
Nice to Haves / Advantage:
- Apache Iceberg, Apache Spark, or modern data stack tools (DBT, DuckDB, Dagster, Airflow, Prefect)
- Backend system design: RESTful APIs, microservices, event-driven systems, RabbitMQ, Kafka
- Containerization & IaC: Docker, Kubernetes, Terraform
- Stream processing: Kafka, Flink
- Knowledge of compliance (GDPR, CCPA)
- Mentoring or leading small teams
- Excellent communication and ability to explain technical concepts clearly
- Relevant cloud or data certifications
Top Skills
Airflow
Apache Iceberg
Spark
AWS
Azure
Dagster
Data Lakes
Data Warehouses
Dbt
Docker
Duckdb
Flink
GCP
Great Expectations
Kafka
Kubernetes
NoSQL
Pandas
Postgres
Prefect
Pydantic
Pytest
Python
RabbitMQ
Restful Apis
Terraform
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