Data Warehouse Engineer

Three Outcomes For Year One

• Help transition and stabilize the new data architecture
• This individual will be able to handle adding and keeping sources concise and work with other engineers to build a robust and stable data warehouse 
• Active monitoring and alerting of the data and its sources

What You'll Do

• Define and align on critical business metrics by collaborating closely with department leaders.

• Analyze and master data structures across various source systems, including Salesforce, NetSuite, and internal databases.

• Leverage ETL and streaming technologies, such as Apache Airflow and Kafka Connect, to facilitate seamless data transfers.

• Build and maintain a data warehouse (e.g., BigQuery).

• Use business intelligence tools (e.g., Looker) to establish data models and create.

What You'll Bring

• Bachelors degree in relevant field 
• At least three years of relevant experience working with data warehouses and business intelligence platforms
• Meaningful experience with the following technologies:
• Python (or a similar language)
• Apache Airflow
• Google BigQuery
• SQL
• Experience in Cloud Data Warehouses 
• Familiarity with Data ecosystems

People Describe You As

• Relentlessly driven for improvement, actively seeking new knowledge, and always ready to embrace and conquer complex challenges.

Benefits