Senior Data & Integration Engineer – Incident Management Platform

Requisitos

• At least 5 years of professional experience in Data Engineering, Backend Integration Engineering, or a closely related role
• Proven experience building production-grade data pipelines, backend services, and system integrations
• Strong hands-on expertise with Databricks, Delta Lake, and PySpark or Spark SQL in production
• Experience with Databricks jobs, workflows, medallion architecture, and incremental data ingestion
• Ability to build and maintain REST APIs, webhooks, and backend services using Python frameworks such as FastAPI or Flask

Desejáveis

• Direct experience integrating Jira Cloud and Jira Service Management via APIs and webhooks
• Familiarity with data governance/security tools such as Databricks Unity Catalog, row/column-level security, data masking, PII protection
• Understanding of SRE practices and incident metrics such as MTTD and MTTR
• Experience with observability platforms such as AWS CloudWatch, Datadog, or New Relic
• Previous experience in fintech, payment platforms, or highly regulated data environments