Google Operations Center
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Bengaluru · On-site · 5-8 Yrs · Sep 20
1001 to 5000 Employees · Hyderābād, India
Hiring: Engineering
What employees say
+ Food, Cab, Events, Vendiman, leaves
− Nano Management, Office politics, favouritism
More reviews on the company profile.
Interview experience · Developer Executive
I went through couple of rounds. First round was with HR on the next coming rounds. I went through second round technical one. Was asked basic questions on js. But the response from them was very slow.
Average difficulty · India · 37 reports
More interview insightsJob description
Overview
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.
Responsibilities
- 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
Qualifications
- 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.
- 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.
Nice to have
- 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
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Job application FAQ
Last updated 7 October 2026
- How do I apply for Data Engineer Senior Specialist - WebOps - Web Analytics at Google Operations Center?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Google Operations Center may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer Senior Specialist - WebOps - Web Analytics role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer Senior Specialist - WebOps - Web Analytics remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer Senior Specialist - WebOps - Web Analytics role at Google Operations Center?
- This is a senior Data Engineer Senior Specialist - WebOps - Web Analytics role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.