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Google Senior Data Engineer Finance Analytics United States, Illinois, Chicago 429289263
Yesterday
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Minimum qualifications:
Preferred 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.
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