Data Platform Engineer
Core
Design and build scalable, data-intensive applications for fraud prevention and AML compliance, ingesting large datasets and creating APIs for efficient data retrieval.
Role type
Senior Data Platform Engineer
Builds
Scalable data pipelines, high-performance APIs, and data-driven solutions for fraud detection
Domain
Fintech / Fraud Prevention / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
ETL pipeline design, API development, scalable storage architecture, streaming data processing, cloud infrastructure management, containerization, CI/CD pipeline management
Preferred skills
Mentorship, technical documentation, cross-functional collaboration
Technologies
Apache Flink, Apache Beam, Airflow, Apache Spark, Go, Python, Java, SQL, NoSQL (Bigtable, BigQuery, DynamoDB), AWS, GCP, Docker, Kubernetes
Responsibilities
Design and implement ETL pipelines for terabytes of data; Develop and optimize APIs for fast data retrieval; Architect and manage scalable storage solutions; Collaborate with data science and product teams to drive insights; Document processes, architectures, and APIs; Mentor junior engineers
Seniority
Senior, hands-on IC
