Data Engineer, YouTube Business Organization

Google Inc.; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Google's YouTube Business Organization seeks a Data Engineer to design, build, and optimize scalable data pipelines and analytics that power partnerships and pricing decisions. You will work with cross-functional teams to ensure reliable data availability and governance while leveraging SQL and modern ETL stacks.

The role focuses on turning complex data into actionable insights, maintaining data quality, and collaborating with product, engineering and business stakeholders in a fast-paced,

Qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience coding in one or more programming languages.
• 3 years designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
• 3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.

Responsibilities

• Work closely with analysts to productionize and scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models.
• Build and maintain data platforms to enable data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets.
• Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs.
• Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines.
• Write and review end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies.

Skills

SQL

Python

ETL

Data pipelines

Education

Bachelor's degree

Tools

Flume

DataFlow

Spark

Job description

Data Engineer, YouTube Business Organization

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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• Bachelor's degree or equivalent practical experience.
• 3 years of experience coding in one or more programming languages.
• 3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
• 3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.

Preferred qualifications:

• Experience with data warehouses, large-scale distributed data platforms, data lakes, artificial intelligence and Gen AI data applications.
• Ability to break down complex, multi-dimensional problems along with structured thinking.
• Ability to navigate ambiguity and work in a fluid environment with multiple stakeholders.
• Excellent business and technical communication, organizational, and analytical skills.

About the job

gTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.

With over 2 billion monthly logged-in users, YouTube has grown into a global community where people all over the world access information, share video, and shape culture. The YouTube team helps budding creators build careers, artists and Media Companies reach audiences, creates products like YouTube Kids, YouTube Music, and YouTube TV. The YouTube Business Strategy & Operations team is responsible for driving all go-to-market functions for the YouTube Business Organization (Biz Org). The team is responsible for shaping go-to-market priorities to accelerate growth and resource the business accordingly. This team combines deep strategic, operational, and problem solving skills with a pragmatic sense of how to get things done and drive change across a global organization. You will be part of a community of analytics professionals who work on impactful projects ranging from developing critical data pipelines that help run the business, build tools to analyze the content partnerships and creator ecosystem which guide business leadership on optimizing the effectiveness and efficiency of our partner facing business teams. We use SQL and YouTube’s Extract, Transform, Load (ETL) systems to produce useful datasets, establish best practices for data sets and reporting, and develop a breadth of expertise in various data domains.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Responsibilities

• Work closely with analysts to productionize and scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models.
• Build and maintain data platforms to enable data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets.
• Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs.
• Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines.
• Write and review end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies.

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.