Google Operations Center
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Bengaluru · On-site · 3-6 Yrs · Oct 10
1001 to 5000 Employees · Hyderābād, India
Hiring: Engineering, Customer support and operations
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
- 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
- Develop ETL Pipelines: Build fast, scalable and reliable data pipelines for Google Analytics data to flow into GCP BigQuery
- Optimize Performance: Ensure existing data pipelines are optimized / troubleshooted for faster data responses
- Perform Analytics: Develop visualizations for impactful data insights to enable business decisions
- Maintain Code Quality: Build, optimize, clean the SQL code to ensure adherence to Google standards & optimal performance
Qualifications
- 3+ years experience working with advanced SQL: manipulating and managing large datasets to derive insights.
- 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
- Basic to intermediate proficiency with GCP
- Building and maintaining relationships with key stakeholders.
- 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 3 November 2026
- How do I apply for Data Engineer 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 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 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 Specialist - WebOps - Web Analytics role at Google Operations Center?
- This is a mid-level Data Engineer 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.