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The Role:
- Build and operate data pipelines from operational systems into BigQuery using incremental loading and change data capture.
- Develop bronze, silver, and gold datasets, including shared business entities and reporting metrics.
- Partner with BI, data science, and engineering teams to deliver reliable, performant datasets.
What We're Looking For:
- 5+ years of data engineering experience with production pipeline ownership.
- Advanced SQL, strong Python, and hands-on BigQuery expertise.
- Experience with dbt, Airflow, and automated data quality controls.
Our Environment:
- Google BigQuery, MySQL, ClickHouse, Kafka, Python, Power BI, Salesforce, and NetSuite.
- You'll work with engineering to bring product data into governed enterprise datasets.
- You'll help shape data engineering standards for testing, deployment, security, and cost management.
Vultr
Vultr provides high-performance cloud infrastructure including compute, GPU, bare metal, and storage solutions across 33 global data centers. It has grown into a leading privately-held cloud infrastructure company, serving hundreds of thousands of customers in 185 countries, with a $3.5 billion valuation.