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Revenue Platforms Data Engineer

Google is a global technology company that provides a wide range of internet-related services and products.
$120,000 - $200,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Finance
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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. The ideal candidate will have a strong background in finance systems and data engineering, with experience in SQL and Python. They will work on developing data pipelines, managing data architecture, and ensuring data quality for financial reporting. This role offers the opportunity to work with cutting-edge technology at one of the world's leading tech companies, with a strong emphasis on data-driven decision making and process automation. Google provides a diverse and inclusive work environment, with a strong commitment to equal opportunity and professional development. The role requires collaboration with various stakeholders and finance experts, making it an excellent opportunity for someone who combines technical expertise with business acumen.

Last updated 3 months 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)
  • Manage Data Architecture understands internal infrastructure to select appropriate sources and technologies
  • Ensure Data Quality implements data validation and cleansing processes
  • Automate manual tasks and design data solutions

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

Benefits For Revenue Platforms Data Engineer

Medical Insurance
Vision Insurance
Dental Insurance
Parental Leave
  • Equal opportunity employer
  • Inclusive work environment
  • Professional development opportunities

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