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Revenue Platforms Data Engineer

Revenue Platforms Data Engineer

1 Week ago • 3 Years + • Data Analyst • Finance

About the job

3 skills required for this role

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python

sql

communication

Job Description

This Revenue Platforms Data Engineer role at Alphabet focuses on simplifying and centralizing the deployment of Quote-to-Report (Q2R) digitalization. The position involves collaborating with stakeholders and finance subject matter experts to understand reporting requirements and develop data solutions. Responsibilities include designing and implementing ETL processes using SQL and Python, managing data architecture, ensuring data quality and security, automating tasks, and efficiently handling large volumes of financial data. The goal is to create Q2R systems and processes that are efficient, accurate, and scalable across all Alphabet products. The ideal candidate possesses strong SQL, database management, and object-oriented programming skills.

Must have:

Bachelor's degree in related field or equivalent experience
3+ years of experience with Finance systems
SQL/database management experience
Object-Oriented Programming experience
ETL process design and implementation (SQL, Python)
Data architecture management
Data quality and security

Good to have:

Experience in collaborative coding and version control
Machine learning experience
Operational process improvement skills
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.

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About The Company

Google

3254 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.