Senior Data Engineer

BioCatch • Fraud Detection • Athlete Training • Python • ETL/ELT • 7 months ago
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Salary
≈ $85k – $216k per year (Estimated)
Location
Remote/Hybrid (Tel Aviv, Israel)
Seniority
Senior · 5+ years exp
Overview
Company
Impact
Profile match

BioCatch

BioCatch builds behavioural biometrics that detect fraud from how users interact with devices. Its models spot account takeover and social engineering scams. The company serves large banks worldwide.
biocatch.com • HQ: Tel Aviv, Israel • Athlete Training • Fraud Detection • Est. 2011

Responsibilities

  • Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
  • Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
  • Optimize and monitor the team-related cloud costs.
  • Design and construct monitoring tools to ensure the efficiency and reliability of data processes.
  • Implement CI/CD for Data Workflows

Requirements

  • 5+ Years of Experience in data engineering and big data at large scales. - Must
  • Extensive experience with modern data stack - Must:

    • 1. Snowflake, Delta Lake, Iceberg, BigQuery, Redshift

    2.Kafka, RabbitMQ, or similar for real-time data processing.

    3.Pyspark, Databricks

  • Strong software development background with Python/OOP and hands-on experience in building large-scale data pipelines. - Must
  • Hands-on experience with Docker and Kubernetes. - Must
  • Expertise in ETL development, data modeling, and data warehousing best practices.
  • Knowledge of monitoring & observability (Datadog, Prometheus, ELK, etc)
  • Experience with infrastructure as code, deployment automation, and CI/CD.
  • Practices using tools such as Helm, ArgoCD, Terraform, GitHub Actions, and Jenkins.
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