Company
Technology
DataWarehouseEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Warehouse Engineer. Skills: Data warehousing, ETL, Business intelligence. Define critical business metrics. Collaborate with department leaders”
What You'll Achieve.
Transition and stabilize new data architecture; Handle adding and keeping sources concise; Build robust and stable data warehouse; Active monitoring and alerting of data
Industry & Context.
Conquer complex challenges
What They're Looking For.
Must Have
Bachelors degree in relevant field, At least three years of relevant experience, Experience with Python, Experience with Apache Airflow, Experience with Google BigQuery, Experience with SQL, Experience in Cloud Data Warehouses, Familiarity with Data ecosystems
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Define critical business metrics
Collaborate with department leaders
Analyze data structures
Master data structures
Leverage ETL technologies
Leverage streaming technologies
Facilitate seamless data transfers
Maintain data warehouse
Use business intelligence tools
Establish data models
Alert on data sources
How You'll Work.
Team & Collaboration
Collaborate with engineers; Collaborate with department leaders
Full Job Description
## 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 Competitive Health Benefits: Revinate offers multiple insurance options, including an employee premium paid 100% by Revinate Paid Family & Parental Leave: A comprehensive paid leave program, ensuring you have the time you need. Family Building Benefits: Revinate offers multiple medical plans, including a buy-up option with $20,000 of coverage for medically necessary fertility treatments. Excellent Dental and Vision Benefits 401(k) Program: Includes an employer match Optional plans for Short & Long Term Disability insurance, as well as Life insurance Paid Flex time off Employee Assistance Program (EAP) Perks: Monthly work from home stipend, Telehealth access, Peloton benefits and
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