SAP Snowflake Analytics Engineer / Hybrid / Scottsdale, AZ

Motion Recruitment
Scottsdale, AZ, United States
27 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Data Analysis Data Dictionary Information Engineering Data Mart Python (Programming Language) Standard Sql SAP (Applications) SQL Databases Large Language Models Snowflake Information Technology

Job description

Our client, a clean energy developer and operator across the US, is actively hiring an Analytics Engineer to join their team in Scottsdale, AZ! This will be a hybrid role and will require 3 days a week onsite.In this role, you will be responsible for building and owning the semantic layer and data mart strategy that connects the raw operational and financial data to the business teams who depend on it. A significant portion of your work will focus on modeling data replicated from SAP, our financial and other operational platforms into Snowflake building clean, tested, and well-documented dbt models that serve Hex dashboards and Snowflake semantic models queryable by LLMs.Contract Duration: 12 MonthsRequired Skills & ExperienceBachelor’s degree in Computer Science, Engineering, Mathematics, or related field3+ years in an Analytics Engineering, Data Engineering, or BI Engineering roleWorking knowledge of SnowflakeSQL and Python proficiencyWhat You Will Be DoingDesign and maintain the staging and intermediate dbt model layers for financial, operational, and asset-management data replicated from SAP (ERP) into SnowflakeBuild and maintain Snowflake semantic models (definitions that allow LLMs and BI tools to query business metrics without ad-hoc SQLCreate documentation, data dictionaries, and training materials that enable analysts to use data marts and Hex workbooks independently

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
  • 3+ years in an Analytics Engineering, Data Engineering, or BI Engineering role
  • Working knowledge of Snowflake
  • SQL and Python proficiency

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