Sr. Data Engineer

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Requirements:

• Solid background and minimum 5 years experience in SQL, Python and Ruby-on-Rails languages, with ability to troubleshoot existing code and script new features
• Extensive experience working with enterprise data warehouses, experience with Redshift and Big Query are strongly preferred.
• Experience working with Business Intelligence platforms, preferably building KPI dashboards. Tableau and/or Looker preferred
• Experience in retail and/or consumer packaged goods companies strongly preferred

Responsibilities:

• Support the foundation of the existing data platforms, which include but are not limited to Periscope, Redshift, Tableau, and ad-hoc reporting as needed.
• Analyze key SQL queries that support revenue recognition, and assist the finance teams with their closing processes
• Collaborate with cross functional teams (Finance, Accounting, Planning) to ensure data is accurate, standardized/normalized, and accessible
• Serve as a resident expert of data integrations, reviewing data as it travels through the BARK tech stack, and review any and all ETL processes in place
• Build new reporting to support revenue, gross margin and planning reporting, particularly during period closing with strict deadlines
• Support an existing Ruby on Rails platform, as well as integrations with Shopify to the data warehouse, for purposes of revenue recognition