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Google

Data Engineer Senior Specialist - WebOps - Web Analytics

LocationIN-BLR-BCPV
Work modeon-site
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentData Engineering
Company size10,000+ people
First seenOct 4, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have8
5+ years experience working with advanced SQL: manipulating and managing large datasets to derive insights.
Strong Technical expertise in building, troubleshooting and maintaining ETL pipelines on GCP BigQuery, knowledge in OLAP technologies and data warehousing.
Ability to handle multiple projects in a fast-paced environment.
Effective communication and leadership skills.
Excellent problem-solving and analytical skills.
Experience implementing and working with Large Language Models (LLMs), including prompt engineering and translating business requirements into technical solutions.
Strong technical documentation skills, particularly in writing implementation designs.
Proficiency in DevOps/DataOps principles (release management, system stability, error handling) and optimizing data processing and batching patterns.
Nice to have7
Intermediate to expert proficiency with GCP
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.
Skills
SQL
GCP BigQuery
Large Language Models (LLMs)
OLAP technologies
Data Warehousing
Benefits
Health insurance
Dental insurance
Vision insurance
Maternity leave
Disability insurance
Free meals
Snacks
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 the Data Engineering 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
About the role
In understanding the user need, we partner directly with Marketing 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 Engineering Sr. Specialist, you’ll develop the data infrastructure to ensure that Google stakeholders 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.
•
As the Sr. Specialist, you’ll be responsible to oversee and review the development of the data infrastructure that our Data Engineers are creating to ensure that our Cloud Marketing teams have the most accurate data they need to make crucial business decisions
•
You’ll act as a subject matter expert and quality auditor for a team of Data Engineers and partner with the Cloud Marketing team to create data and visualization solutions
•
In this role, you’ll have the opportunity to design and lead the development of innovative data solutions while troubleshooting challenging problems using Google’s large-scale production data infrastructure
•
You’ll act as a technical liaison between business and analyst teams and supervise the design of new data products and optimize how they will perform
•
Experience implementing and working with Large Language Models (LLMs), including prompt engineering and translating business requirements into technical solutions.
•
Strong technical documentation skills, particularly in writing implementation designs.
•
Proficiency in DevOps/DataOps principles (release management, system stability, error handling) and optimizing data processing and batching patterns.
Required Skills:
•
5+ years experience working with advanced SQL: manipulating and managing large datasets to derive insights.
•
Strong Technical expertise in building, troubleshooting and maintaining ETL pipelines on GCP BigQuery, knowledge in OLAP technologies and data warehousing.
•
Ability to handle multiple projects in a fast-paced environment.
•
Effective communication and leadership skills.
•
Excellent problem-solving and analytical skills.
Preferred qualifications:
•
Intermediate to expert proficiency with GCP
•
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
Legal
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.
Hiring process
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 [email protected].
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