✨ About The Role
- The role involves designing, building, and maintaining robust data systems, including data ingestion pipelines and orchestration processes.
- The Data Engineer will be responsible for maintaining and troubleshooting a modern data stack to ensure high data quality and availability.
- They will shape the data model at Hive to advance the broader analytics strategy and establish best practices for data governance.
- The position requires leading data projects from ingestion to reporting while managing scope and working with ambiguity.
- The candidate will also support business teams in generating insights by creating dashboards and coaching citizen analysts.
⚡ Requirements
- The ideal candidate has over 3 years of experience as a data engineer, full-stack data analyst, or analytics engineer.
- They should have strong SQL skills and experience writing Python data pipelines using tools like Dagster or Airflow.
- A successful candidate will be comfortable working independently and autonomously in an ambiguous environment.
- They should possess excellent communication skills to effectively liaise with both technical and non-technical stakeholders.
- The candidate should have a knack for troubleshooting and creating solutions when systems or tools break.