Data Engineer
Core
Building and modernizing data platforms, pipelines, and infrastructure to enable real-time fraud detection and support digital identity verification.
Role type
Senior Data Engineer (real-time & batch)
Builds
Scalable data lake/lakehouse, batch and streaming pipelines, and data transformation layers for fraud detection and identity verification.
Domain
Fintech / Digital Identity / Fraud Detection
Deliverable
production ML models | product features | infrastructure
Required skills
Distributed systems (Spark, Kafka, Flink), SQL, Cloud data services (AWS S3, EMR/Glue, Kinesis, Redshift), Infrastructure as Code (Terraform), Workflow orchestration (Airflow), Data transformation (dbt)
Preferred skills
CI/CD practices, observability, cost optimization, self-service tooling development
Technologies
AWS, Scala, Spark, dbt, Terraform, Kafka, Flink, Airflow, S3, EMR, Glue, Kinesis, MSK, Lambda, Redshift, Athena
Responsibilities
Design and evolve data platforms for querying and modeling; Develop scalable batch and streaming pipelines; Maintain and fix existing ETLs; Model curated layers and maintain transformation logic; Build infrastructure as code and contribute to CI/CD; Partner with Data Science for real-time decisioning signals.
Seniority
Senior, hands-on IC
