Senior Data Engineer
Core
Architect and scale robust ETL/ELT pipelines (batch and real-time streaming) to empower ML teams and operationalize models for identity intelligence and fraud detection.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, synthetic data generation systems, and analytics infrastructure for real-time identity control.
Domain
Identity Intelligence / Fraud Detection / AI
Deliverable
production ML models | infrastructure
Required skills
Advanced Python, Modern Data Stack (Google BigQuery, Snowflake, AWS Redshift), Database Mastery (PostgreSQL, NoSQL), Software Engineering Foundations (OOP, Git, CI/CD)
Preferred skills
Machine learning development lifecycle, Containerization & Orchestration (Docker, Kubernetes), Specific NoSQL Stores (MongoDB), Infrastructure as Code (Terraform), Cloud Ecosystems (GCP, AWS)
Responsibilities
Design and maintain ETL/ELT pipelines, Partner with Data Science/ML teams on feature engineering and model operationalization, Optimize data infrastructure and automation, Develop synthetic data generation pipelines, Shape data architecture and collaborate on high-impact projects, Ensure data governance and compliance
Seniority
Senior, hands-on IC