9 months ago
Tel Aviv-Yafo, IsraelSenior
Responsibilities
- Direct data architecture and select appropriate tools for data engineering needs.
- Manage end-to-end design, implementation, and maintenance of large-scale data-driven projects.
- Optimize and monitor team-related cloud costs.
- Design and build monitoring tools for efficient and reliable data processes.
- Implement CI/CD for data workflows.
Requirements
- 5+ years of experience in data engineering and large-scale big data.
- Extensive experience with Snowflake, Delta Lake, Iceberg, BigQuery, Redshift, Kafka, RabbitMQ, PySpark, and Databricks.
- Strong software development background with Python, object-oriented programming, and large-scale data pipeline development experience.
- Hands-on experience with Docker and Kubernetes.
- Expertise in ETL development, data modeling, and data warehousing best practices.
- Knowledge of monitoring and observability tools such as Datadog, Prometheus, and ELK.
- Experience with infrastructure as code, deployment automation, and CI/CD.
- Experience using Helm, ArgoCD, Terraform, GitHub Actions, and Jenkins.
- Strong back-end software engineering skills and the ability to challenge assumptions and collaborate effectively.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaApache SparkAzureDatabricksDatadogDockerGitHub ActionsGoogle BigQueryGoogle Cloud PlatformHelmJenkinsKubernetesNeo4jPrometheusPythonRabbitMQSnowflakeSQLTerraform
Categories
BackendData Engineering
About BioCatch
BioCatch builds behavioral biometrics and fraud detection software for banks and other financial institutions. Its platform analyzes keystrokes, mouse and touchscreen behavior, and device signals to enable continuous authentication and spot account takeover, scams, and mule activity via APIs integrated into digital banking. Founded in 2011 and headquartered in New York, the privately held company sells enterprise subscriptions and is deployed at major global banks.