Data Engineer
5 days ago
Responsibilities
- Design, build, and manage the complete orchestration framework for all data pipelines using Google Cloud Composer.
- Author complex, dynamic, and maintainable DAGs in Python, implementing sophisticated dependency management, triggers, and scheduling logic.
- Serve as the team's subject matter expert on all DAG Authoring/Best Practices, including idempotency, task modularity, backfilling, and performance tuning.
- Develop a comprehensive monitoring and alerting strategy for all orchestrated pipelines to proactively identify and resolve issues.
- Establish and enforce CI/CD processes for deploying and testing DAGs to ensure operational stability.
- Collaborate with the ingestion and transformation engineers to understand pipeline dependencies and integrate their workflows into the master orchestration plan.
- Own the operational health of the data platform, managing retries, handling failures, and communicating pipeline status to stakeholders.
Requirements:
- Expert-Level DAG Authoring: Demonstrable mastery of authoring complex DAGs in Python. This must include deep knowledge of Airflow operators and sensors, dynamic DAG generation, managing task dependencies and SLAs, and creating idempotent tasks.
- Cloud Composer (Apache Airflow): Deep, hands-on experience managing a production Cloud Composer environment, including configuration, security, scaling, and troubleshooting.
- Python for Orchestration: Expert-level Python proficiency as it applies to writing clean, efficient, and testable Airflow DAGs.
- CI/CD for Data Pipelines: Experience implementing continuous integration and deployment workflows for DAGs using tools like Git and Google Cloud Build.
- Monitoring & Alerting: Strong knowledge of setting up and using monitoring tools (like Google Cloud's operations suite) to track pipeline performance and alert on failures.
Job Type: Full-time
Pay: From Php130,000.00 per month
Benefits:
- Paid training
Application Question(s):
- How much is your monthly expected salary?
- This is remote, 10PM shift. Confirm that you are okay with this.
- How long is your exposure to Google Cloud Composer (Apache Airflow) and the art of DAG (Directed Acyclic Graph) authoring?
Work Location: Remote
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