Data Engineer Senior Specialist - WebOps - Web Analytics

Google Operations Center; Hyderabad; On-site; INR 1,500,000 - 2,600,000; Full time

Benefits offered by this job

Competitive wages

Comprehensive health care

Parental leave policy

Onsite meals & snacks

Job summary

Google Operations Center in Hyderabad, India seeks a Sr. Data Engineer Specialist to develop robust data infrastructure and enable trusted business decisions.

You will work with Marketing and Enablement teams to build visualization-ready data and scalable solutions. You will lead Data Engineers, audit quality, and drive innovative data products while solving complex problems using Google-scale production data.

Qualifications

• 5+ years experience with advanced SQL and large datasets.
• Strong expertise building, troubleshooting and maintaining ETL pipelines on GCP BigQuery.
• Ability to manage multiple projects in a fast-paced environment.
• Effective communication and leadership skills.
• Excellent problem-solving and analytical abilities.

Responsibilities

• Oversee and review the development of data infrastructure for Cloud Marketing teams.
• Serve as SME and quality auditor for a Data Engineers team and partner with stakeholders to deliver data solutions.
• Design and lead innovative data solutions using Google’s data platforms.
• Act as a technical liaison between business and analyst teams and supervise data product design.
• Lead the implementation of data products and optimize performance across pipelines.
• Experience implementing LLMs, prompt engineering, and translating requirements into technical solutions.
• Develop and document implementation designs and DevOps/DataOps practices.

Skills

Advanced SQL

ETL pipelines

GCP BigQuery

LLM experience

Leadership

Tools

OLAP technologies

Job description

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

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

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