Specialist in Data Warehouse Project Management

2 hours ago

Davao City, Davao, Philippines beBeeDataEngineering Full time ₱6,000,000 - ₱8,000,000
Job Opportunity: Data Engineering Specialist

We are seeking an experienced Data Engineer to specialize in the orchestration and operational management of a new data warehouse project.

Key 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.
Required Skills and Qualifications:
  • Expert-Level DAG Authoring: Demonstrable mastery of authoring complex DAGs in Python, including 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.
Benefits:

The successful candidate will have the opportunity to work on a high-visibility data warehouse project, collaborating with cross-functional teams to drive business outcomes. This role offers excellent growth opportunities, flexible working arrangements, and access to cutting-edge technology.

Other Requirements:
  • Strong understanding of data warehousing concepts and architectures.
  • Experience with cloud-based data platforms (e.g., Google Cloud).

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