Airflow Data Engineer
8 hours ago
We are seeking a skilled Data Engineer to enhance and automate our data workflows using Astronomer Airflow. The successful candidate will be responsible for improving data processing capabilities, optimizing task scheduling, and reducing our dependency on Databricks for orchestration.
Key Responsibilities- Install and configure Astronomer Airflow, establishing necessary connections and ensuring the Airflow web server and scheduler are operational.
- Migrate existing workflows to the Astronomer Airflow platform, ensuring they run error-free and meet performance benchmarks.
- Conduct training sessions for the data engineering team, providing supporting materials and documentation to ensure team proficiency in creating and managing workflows and DAGs.
- Set up monitoring tools to track workflow performance, configure alerts for critical issues, and establish regular reporting procedures for ongoing monitoring.
- Review and optimize workflows for performance, create detailed documentation covering workflows, configurations, and best practices, and establish a feedback loop for continuous improvement.
- Integrate Airflow with Azure functions, REST endpoints, and event-driven architectures, implementing support for external services to extend orchestration beyond Databricks.
- Develop a system to handle job dependencies and implement checks to ensure jobs run only if the underlying data has changed.
- Proven experience with Astronomer Airflow and data workflow orchestration.
- Strong understanding of CI/CD pipelines and version control systems (e.g., GitHub).
- Experience with cloud platforms (e.g., Azure) and integrating external services.
- Proficiency in Python and SQL.
- Excellent problem-solving skills and attention to detail.
- Experience with Databricks and Snowflake.
- Familiarity with machine learning and artificial intelligence workflows.
- Strong communication and training skills.
- Ability to work collaboratively in a team environment.
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