Senior Data Engineer
Core
Build and maintain an event-driven data platform on AWS and Snowflake to ingest, transform, and serve data for fraud detection, payments, and merchant analytics.
Role type
Senior IC data engineer (event-driven architecture)
Builds
Real-time event pipelines, batch data loads, and privacy-first analytical datasets
Domain
Fintech / Payments / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
AWS (EventBridge, Kinesis, S3), Snowflake (Snowpipe, Tasks, Snowpark), dbt, Terraform, Python, SQL, CI/CD (GitHub Actions), Data Quality testing
Preferred skills
Terragrunt, Datadog observability, PII handling and masking, Schema evolution management
Technologies
AWS, Snowflake, EventBridge, Kinesis, S3, Snowpipe, Snowpark, Terraform, Terragrunt, Python, dbt, GitHub Actions, Datadog
Responsibilities
Design and deploy Snowpark-based Python procedures for file-based and third-party data loads; Build and evolve the EventBridge → Firehose → S3 → Snowpipe ingestion path; Manage PII handling, masking, data governance, and access in Snowflake; Build privacy-first data pipelines using dbt and Snowflake Dynamic Tables; Design Datadog monitors and alerting for pipeline observability; Own and extend Terraform/Terragrunt modules for ingestion infrastructure
Seniority
Senior, hands-on IC
