Join Us!

At Google Operations Center we help Google users and customers solve problems and achieve their goals—all while enjoying a culture focused on improving continuously and being better together. We work hard, we play hard, and we want you to join us!

As Part Of Google's Stakeholders Team, We Ensure Our Users Have Access To Aligned, Accurate And Useful Business Metrics And Dimensions That Support Their Operations. We Deliver On Our Mission, And Collaborate With Our Partners To Achieve The Following

Single-source-of-truth data that is robust, high-quality and trusted
Informative visualizations supporting reporting and understanding
Automated insights and analyses that enhance decision making at all levels
Reporting infrastructure that is stable and scalable.

In understanding the user need, we partner directly with Google's Stakeholders, Managers to create & maintain dashboards, resolve bugs and work on feature requests. Where there is a gap between business requirements and available products, we prioritize the need, identify solutions and deliver resulting product initiatives.

Position Responsibilities

As a Data Engineer Specialist, you'll develop the data infrastructure to ensure that Google's Stakeholders team members have the product, support, and operations data they need to make crucial business decisions.
You'll partner with our business and enablement teams to create visualization solutions and have the opportunity to design innovative data solutions while solving challenging problems using Google's large-scale production data infrastructure.

Required Skills

2 years of experience working with advanced SQL: manipulating and managing large datasets to derive insights.
Technical expertise in building, troubleshooting and maintaining ETL pipelines, knowledge in OLAP technologies and data warehousing.
Hands-on experience developing and deploying applications utilizing Large Language Models (LLMs), including advanced prompt engineering techniques.
Proven ability to take defined business requirements and execute the technical implementation of AI/LLM solutions under minimal supervision.
Ability to handle multiple projects in a fast-paced environment.
Effective communication and leadership skills.
Excellent problem-solving and analytical skills.

Preferred Qualifications

Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable:

Basic to intermediate proficiency with Python
Building and maintaining relationships with key stakeholders.
Identifying and capitalizing on technical improvement and optimization opportunities.
Acting as a technical liaison between the business teams and Engineering.
Supervising the design of new data products and optimizing how they will perform.
Checking in and peer reviewing SQL.
Debugging, root causing, communicating and fixing data discrepancy issues.

Benefits

We support you with competitive wages and with comprehensive health care including medical, dental and vision coverage
We support your family with gender-neutral baby bonding leave, 26 week birth-parent maternity leave, and generous life, accident and disability insurance minimums
Employees who work onsite can enjoy free meals and snacks, and fun onsite experiences

Information collected and processed as part of your Google Operations Center (GOC) jobs profile, and any job applications you choose to submit, is subject to GOC's Applicant and Candidate Privacy Policy.

Google Operations Center (GOC) is committed to equal employment opportunities regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

To ensure a barrier-free interview, please mention any required assistance or specific arrangements in your application and confirm them with your recruiter.

To all recruitment agencies: Google Operations Center (GOC) does not accept agency resumes. Please do not forward resumes to our jobs alias, GOC employees, or any other organization location. GOC is not responsible for any fees related to unsolicited resumes.

Thanks for your interest in this opportunity! Our recruitment team will contact you if your profile is a good fit for the role. If you don't hear from us within 2-3 weeks, please consider your application unsuccessful at this time. We value your patience throughout this time. For any questions, feel free to reach out to us at [HIDDEN TEXT].

Data Engineer Specialist - Data Analytics - Analytics & Data Engineering