Senior Data Engineer, Finance Data and Analytics

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience coding with one or more programming languages (e.g., Python, Java, JavaScript).
• 5 years of experience analyzing data, database querying (e.g., SQL), and creating dashboards/reports.
• 5 years of experience designing data pipelines (ETL) and dimensional data modeling for synch and asynch system integration and implementation.

Preferred qualifications:

• Master’s degree in Engineering, Computer Science, Business, or a related field.
• 5 years of experience partnering with stakeholders (e.g., users, partners, customers), developing project plans, and delivering projects on time within budget and scope.
• Experience working in large scale data engineering implementations (e.g., data architecture, data processing pipelines, data validation and monitoring).
• Knowledge of one or more Finance functional areas (e.g. accounting, planning and budgeting, business intelligence, payroll, procure-to-pay).
• Ability to drive and execute full life-cycle system implementations (analyze, design, build, test, implement, support).
• Excellent communication skills, strong analytical skills, and ability to manage ambiguity.