Contract 10 months REMOTE - Anywhere in United States 40 hours per week M-F Pay $60-65hr The successful candidate will work with key executive stakeholders to collect requirements, then architect the data path from ingestion to visualization. The candidate should evangelize best practices for data engineering and analytics. This position will report to the Sr. Director of Business

Responsibilities

• Develop and maintain data models and data processes using DBT, Snowflake, Looker,

Tableau, and AWS technologies

• Apply best practices to DBT models as an interface to the BI tool
• Maintain and expand CI/CD tools for the stack
• Build data expertise and own data quality and performance for allocated areas of ownership
• Apply best practices for source code control with Github
• Design and Maintain data security access controls
• Work with cross-functional teams to gather requirements
• Design models that are performant and support analysis that leads to business insights

Qualifications:

• BS in Computer Science. The emphasis in Data Engineering is a plus
• 6-8 years Data Engineering Development and Visualization experience
• 3-5 years of Data Warehouse experience is required. Snowflake DWH is preferred
• 2-3 years Oracle HRIS experience
• 3-5 years of SQL experience, Snowflake SQL is preferred
• 2-4 years of DBT experiences, semantic layer experience is a must
• 2-4 years of experience with source code version systems, GitHub is preferred
• 2-3 years of experience with Ci/CD tools for the modern data stack
• 2+ years working with Workday and Oracle Business Suite (OBI, HRIS)
• 2-4 years of Looker/LookML, Tableau or modern BI tool experiences
• Experience with the following Enterprise systems: Salesforce, Jira, Adaptive, Anaplan
• 2+ years of Python development preferred
• Comfortable coding using SQL

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