Added
19 days ago
Type
Full time
Salary
Salary not provided

Related skills

postgresql python dbt airflow google cloud platform

πŸ“‹ Description

  • Own Data Platform Architecture
  • Build Multi-Source Ingestion Pipelines
  • Develop Batch and Event-Driven Workflows
  • Ensure Reliable Failure Recovery
  • Establish Raw-to-Curated Data Architecture
  • Strengthen Data Quality and Governance

🎯 Requirements

  • End-to-End Data Engineering Experience: Proven experience building production data platforms from
  • Workflow Orchestration: Hands-on production experience with Airflow, Dagster, Prefect, or Temporal
  • Google Cloud and dbt: Practical production experience with Google Cloud Platform (GCP) and dbt
  • Event-Driven Architecture: Experience developing asynchronous, event-driven systems using messaging
  • Python Programming: Strong Python skills, particularly asynchronous HTTP requests and concurrent
  • SQL and PostgreSQL: Advanced SQL knowledge and practical PostgreSQL experience, including data

🎁 Benefits

  • Fully remote work
  • Technical ownership
  • Modern technology stack
  • End-to-end impact
  • Engineering autonomy
  • Innovation opportunities
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