Sr. Data Platform Engineer

Added
8 days ago
Type
Full time
Salary
Salary not provided

Related skills

docker aws etl python kubernetes

📋 Description

  • Own and operate Airbyte infrastructure running on Kubernetes
  • Ensure reliable data syncs from source databases into downstream data pipelines
  • Monitor and troubleshoot Airbyte sync failures and performance issues
  • Design, build, and maintain Python-based monitoring and alerting systems
  • Ensure high availability and reliability of data ingestion workflows
  • Manage and optimize infrastructure costs related to data sync workloads

🎯 Requirements

  • 5-8 years of experience
  • Strong experience with Python (monitoring, automation, alerting)
  • Hands-on experience operating Airbyte in production
  • Experience running workloads on Kubernetes
  • Solid understanding of AWS, especially S3, IAM, and monitoring services
  • Experience with data ingestion pipelines and ETL/ELT concepts
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