jobapplier

Data Infrastructure Engineer

Doodle

Skills

Required

  • data platform engineering / scalable
  • DevOps
  • CI/CD
  • infrastructure as code
  • Kubernetes
  • data lakes
  • open table formats
  • Kafka
  • Avro
  • schema design
  • serialization
  • Airflow

Preferred

  • data ingestion
  • storage
  • lead root-cause analysis
  • observability
  • incident response
  • data access

Join Doodle, a leading B2B SaaS platform for scheduling and collaboration. As a Data Infrastructure Engineer, you will design, build, and operate scalable infrastructure for data ingestion, transformation, storage, and serving. You will work closely with various teams to make data simpler and more accessible for everyone. Your responsibilities will include managing secure cloud environments, ensuring reliability and security of data systems, and improving data discoverability.

Responsibilities

  • Design, build, and operate scalable infrastructure for data ingestion, transformation, storage, and serving.
  • Manage secure, reproducible cloud environments for development, testing, and production, with sensible cost controls.
  • Investigate incidents, lead root-cause analysis, and implement preventative improvements to ensure data reliability and security.
  • Reliability and security: observability, incident response and debugging pipeline failures, with a security-conscious approach to data access, privacy and secrets

Requirements

  • Dbt: experience with it is a plus
  • Clear communication with both technical and non-technical stakeholders
  • Cloud and DevOps: CI/CD, infrastructure as code and Kubernetes, plus data lakes and open table formats

Kafka and Avro: schema design, serialization and evolution

  • Redshift and production Airflow: data modeling and performance tuning
  • 2+ years in data platform engineering or scalable software systems