Community

Home >

Jobs >

Revenue Platforms Data Engineer

New South Wales, Australia (On-site)

Revenue Platforms Data Engineer

2 Days ago • 3 Years + • Data Analyst • Finance

About the job

3 skills required for this role

Add these skills to join the top 1% applicants for this job

python

sql

communication

Job Description

This Revenue Platforms Data Engineer role at Alphabet in Sydney, Australia, focuses on simplifying and centralizing the deployment of Quote-to-Report (Q2R) digitalization to maximize ROI on finance platforms. Responsibilities include collaborating with stakeholders and finance subject matter experts to understand reporting needs and develop data solutions. This involves designing and implementing ETL processes using SQL and Python, managing data architecture, ensuring data quality and security, automating tasks, and handling large financial datasets. The ideal candidate will possess strong SQL and Object-Oriented Programming skills and experience with finance systems and data analysis. They will be passionate about data and converting it into actionable business insights.

Must have:

Bachelor's degree in related field or equivalent experience
3+ years experience with Finance systems, Accounting, Operations
SQL/database management experience
Object-Oriented Programming experience
Develop and maintain data pipelines (ETL processes)
Manage data architecture and ensure data security

Good to have:

Experience in collaborative coding and version control
Machine learning experience (data preparation, model selection)
Ability to deliver operational process improvements
Excellent communication and customer service skills

Minimum qualifications:

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.

Preferred qualifications:

Experience in collaborative coding and version control.
Experience in machine learning, including data preparation, model selection, performance evaluation, and parameter tuning.
Ability to deliver operational process improvements.
Excellent communication and customer service skills.
Passion for developing and analyzing data sets and converting them into business insights.

About the job

In this role your mission is to simplify and centralize the prioritization and deployment of smart, Quote-to-Report (Q2R) digitalization to deliver the Return on Investment (ROI) on Finance platforms, for Alphabet. We aim to enable Q2R systems, processes and data fit for Finance that allow every product, anywhere, anytime, the right way, effortlessly.

Responsibilities

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.

View Full Job Description

Upload your resume, increase your shortlisting chances by 80%

About The Company

Google

3142 Active Jobs

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.