Revenue Platforms Data Engineer

Google is a global technology leader providing innovative internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Finance

Description For Revenue Platforms Data Engineer

Google is seeking a Revenue Platforms Data Engineer to join their team in Sydney. This role focuses on simplifying and centralizing the Quote-to-Report (Q2R) digitalization process to optimize Finance platforms for Alphabet. The position requires expertise in financial systems, data pipeline development, and architecture management. You'll work with finance experts to implement ETL processes, ensure data quality, and automate financial reporting solutions. The ideal candidate combines technical skills in SQL and Python with strong financial domain knowledge. Google offers a inclusive work environment and is committed to diversity and equal opportunity. This role presents an opportunity to impact financial data systems at one of the world's leading technology companies, working with cutting-edge tools and technologies while contributing to critical business operations. The position offers the chance to work on complex data challenges, collaborate with subject matter experts, and drive improvements in financial reporting systems. Google's commitment to Aboriginal and Torres Strait Islander peoples' empowerment adds an important dimension to their inclusive workplace culture.

Last updated 15 hours ago

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 security and compliance
  • 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 handle volumes of financial data

Requirements For Revenue Platforms Data Engineer

Python
  • 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

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