Revenue Platforms Data Engineer
Description For Revenue Platforms Data Engineer
Google is seeking a Revenue Platforms Data Engineer to join their team in Sydney, Australia. This role is crucial in simplifying and centralizing the Quote-to-Report (Q2R) digitalization efforts for Alphabet. The position focuses on enabling Q2R systems, processes, and data that support finance operations across all products.
As a Revenue Platforms Data Engineer, you'll work at the intersection of finance and technology, developing and maintaining data pipelines, implementing ETL processes, and ensuring data quality for financial reporting. The role requires strong technical skills in SQL and Python, combined with a solid understanding of finance systems and accounting principles.
The ideal candidate will have at least 3 years of experience in finance systems and operations, with a bachelor's degree in Business, Finance, or a related field. You'll be responsible for collaborating with stakeholders, managing data architecture, and automating manual tasks to improve efficiency.
Google offers a collaborative environment where you'll work with finance experts and technical teams to deliver solutions that impact the entire organization. The company is committed to diversity, equality, and inclusion, providing equal opportunities for all qualified candidates. This role offers the chance to work on complex financial data systems at one of the world's leading technology companies, making a significant impact on Google's financial operations.
The position requires strong technical skills, business acumen, and excellent communication abilities. You'll be part of a team that values innovation, quality, and efficiency in handling financial data systems. This is an excellent opportunity for someone looking to combine their technical expertise with finance domain knowledge at a global scale.
Responsibilities For Revenue Platforms Data Engineer
- Collaborate with Stakeholders, work with finance Subject matter experts to understand report requirements and provide necessary data solutions, access and support
- Develop and Maintain Data Pipelines design and implement Extract, Transform, and Load (ETL) processes (SQL, Python) to ensure timely collection and integration of financial data from various sources
- Manage Data Architecture understands internal infrastructure to select appropriate sources and technologies to manage data, and design data architecture to support financial reporting
- Ensure Data Quality implements data validation and cleansing processes to maintain quality data for accurate business reporting
- Automate manual tasks and design data solutions. Efficiently manage volumes of financial data
Requirements For Revenue Platforms Data Engineer
- Bachelor's degree in Business, Finance, a related quantitative field, or equivalent practical experience
- 3 years of experience with Finance systems, Accounting, Operations, Tax, Internal Controls, Requirements Documentation, Testing, and Validation
- Experience in SQL/database management
- Experience with Object-Oriented Programming
