Senior Data Engineer

ThreatMark (Headquarters: REMOTE / Brno, Czech Republic)

Data Engineering ETL Data Lake PySpark Python Redis PostgreSQL AWS Terraform Big Data Petabyte Scale Real-time Scoring Security Fintech Equity Data Engineer

Join ThreatMark, a global leader in fraud detection protecting over 50M users. We are looking for an exceptional Senior Data Engineer to join our team.

In this role, you will be responsible for designing, building, and maintaining our large-scale data infrastructure, including datalakes and ETL pipelines. You will work with petabyte-scale behavioral and threat data, ensuring its availability and performance for real-time scoring and analytics. You'll leverage technologies like PySpark, Python, Redis, PostgreSQL, AWS, and Terraform to build robust and scalable solutions.

The ideal candidate has extensive experience in data engineering, particularly with large datasets (PB scale), ETL processes, and distributed computing frameworks like Spark. Proficiency in Python and experience with cloud platforms (AWS preferred) and infrastructure-as-code (Terraform) are essential. Experience in the security or fintech domain is a plus. We seek a collaborative individual passionate about building data systems that prevent financial fraud. Equity is offered.