Data Engineer, Data Architecture and Engineering, gTech Strategy and Operations

Google Inc.; Hyderabad; Hybrid; INR 1,500,000 - 2,700,000; Full time

Job summary

Google Inc. is seeking a Data Engineer within gData to design and build scalable data infrastructure powering GBO data needs. You will work with Google's distributed data systems to deliver a reliable single source of truth and enable AI-driven decisions at scale.

You will collaborate with Data Scientists, Analysts, and cross-functional teams to productionize prototypes, improve data models, and ensure data quality across platforms.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/Math.
• 1 year of experience with data processing software (Hadoop, Spark, Pig, Hive) and MapReduce.
• Experience managing client-facing projects and collaborating with Engineering and Sales Services teams.

Responsibilities

• Design, develop, test, and maintain scalable data pipelines and ETL/ELT architectures using Google's distributed data systems (e.g., SQL, Python).
• Contribute to modernization of the Google Ads Data Infrastructure and CDP, optimizing data models for a robust Single Source of Truth.
• Partner with cross-functional stakeholders across gTech and CE to translate evolving business requirements into technical data solutions.
• Work with Data Scientists and Analysts to productionize analytical prototypes and models.
• Advocate data quality by drafting design docs, conducting code reviews, and resolving complex bugs.

Skills

SQL

Python

ETL/ELT

Data pipelines

Data modeling

Education

Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.

Master's degree or other advanced degree in Computer Science or related technical field or equivalent practical experience.

Tools

Hadoop

Spark

Pig

Hive

NoSQL

MongoDB

SparkML

TensorFlow

Job description

Data Engineer, Data Architecture and Engineering, gTech Strategy and Operations

Early

Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Hyderabad, Telangana, India.

• Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
• 1 year of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
• Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.

Preferred qualifications:

• Master's degree or other advanced degree in Computer Science or related technical field or equivalent practical experience.
• Experience in technical consulting and working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
• Experience working with Big Data, information retrieval, data mining, or machine learning.
• Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
• Experience in a customer-facing or customer service role, with practice using AI technologies to augment, improve, or automate the development process.

About the job

As a Data Engineer in gData, you’ll design and build the foundational data infrastructure that powers the GBO data needs. You’ll manage complex, large-scale issues using Google’s proprietary tech stack to deliver a highly reliable Single Source of Truth. In this role, you will have the opportunity to architect innovative data pipelines and solutions that directly enable predictive problem-solving and AI-driven business decisions at scale.Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

Responsibilities

• Design, develop, test, and maintain reliable and scalable data pipelines and Extract, Transform, Load and Extract, Load, Transform (ETL/ELT) architectures using Google's distributed data systems (e.g., advanced SQL, Python).
• Contribute to the modernization of the Google Ads Data Infrastructure (GDI) and Customer Data Platform (CDP), optimizing data models to ensure our Single Source of Truth remains robust and performant.
• Partner closely with cross-functional stakeholders across gTech and Customer Engagement (CE) to translate evolving business requirements into actionable technical data solutions.
• Work seamlessly with Data Scientists and Business Analysts to transition analytical prototypes, metrics, and models into stable, production-grade reporting environments.
• Advocate data quality by authoring clear technical design documents, executing code reviews, and proactively resolving complex bugs and support escalations.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.