Data Engineer

• Landing and wrangling large data sets using Salesforce, SQL/Snowflake, and Python to identify, quantify and monitor financial and/or operational risks in financial and companywide processes
• Managing and building complex multi-source data sets while ensuring refresh accuracy and timeliness
• Migrating and rebuilding data infrastructure from an evolving tool landscape
• Conduct end to end testing, auditing ELT pipelines/data curations to improve the runtime, accuracy, efficiency, and cost.
• Develop and refine data curations to eliminate manual work
• Collect and translate business requests into documented requirements and scalable data models
• Collaborate with multiple stakeholders and personas to define KPIs, align on approaches, and audit data results ensuring we provide holistic completeness and accuracy
• Our organization is embedded within Finance, as such we are expected to broadly understand the processes, goals, and strategies to help operators overcome data limitations, get to insight faster, provide time savings, and other forms of ROI

Data Engineer, Finance Data Office

Data Engineer

Analytics Data Engineer III