
Enterprise Data Engineer
As a Enterprise Data Engineer, you will lead projects and oversee strategies that enhance the availability and usability of our Enterprise Data Warehouse. You will ensure complete, accurate, and SOX compliant data is available for the Finance departments to fulfill all the revenue reporting requirements for a public company. Expand data pipelines, enhance infrastructure, improve reliability, and strengthen database performance. Contribute to the ongoing development of the data warehouse ecosystem. Become the expert on all aspects of the Finance teams’ data reporting and analytics infrastructure. Develop and maintain data definitions for internally available data sources. Work in agile sprints, iterate on solutions/ approaches, communicate your plans and align with stakeholder and broader org goals with respect to delivering data driven tools and systems.
5+ years of experience working in business intelligence, data infrastructure or equivalent
Experience with containerization and orchestration
Preferred, but not required experience implementing a BI tool like Looker or Periscope
Kubernetes
Time Management Skills
Python scripting skills
Excellent SQL skills
Data modeling and analysis skills
ETL performance tuning
Driven and self-motivated
Prioritizing skills
Organizational skills
Communication Skills
Adaptability
Attention to detail and accuracy
Multi-tasking
According to JobzMall, the average salary range for a Enterprise Data Engineer in 600 Harrison St, San Francisco, CA 94107, USA is $113,400 to $145,600. This range is based on the salaries of professionals in the area with the same job title and job description.
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