Google

Senior Data Engineer, YouTube

Posted On

May 27, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

June 12, 2025

Job Description

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 to make them accessible for Business Data Analysts, Data Scientists, and business users to enable data-driven decision-making.
Work with analysts to product-ionize and scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models.
Drive the data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets, business intelligence products, and analyses.
Engage with the analyst community, communicate with analysts to understand critical user journeys and data sourcing inefficiencies, advocate best practices and lead analyst trainings.

Minimum qualifications:

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

Preferred qualifications:

Master’s degree in a quantitative discipline.
Experience with data warehouses, large-scale distributed data platforms, and data lakes.
Ability to break down complex, multi-dimensional problems.
Ability to navigate ambiguity and in a fluid environment with multiple stakeholders.
Excellent business and technical communication, organizational, and problem-solving skills.

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

As a Data Engineer within YouTube Analytics and Data Science, you will be part of a community of analytics professionals who work on projects ranging from developing 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.

Data is the fundamental building block for every tool and every insight. We build the data sets that help run the business, piping the relevant data into and out of our tools, and making it useful for analysts across the organization to drive reporting and insights.

We are responsible for democratizing YouTube’s business data, helping business leaders make sense of business operations through business intelligence. We use SQL and YouTube’s Extract, Transform, and Load (ETL) systems to produce datasets, establish standard procedures for data sets and reporting, and develop a breadth of expertise in various data domains. You will scale centralized reporting, to ensure the business is operating more effectively and efficiently.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we 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.

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