Data Engineer, YouTube India

Google LLC; Bengaluru; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Google LLC in Bengaluru is seeking a Data Engineer within YouTube Analytics and Data Science to build and maintain data platforms, ETL pipelines, and data products that empower business insights for partners.

You will work with data warehouses, Big Data, and ML tooling, collaborate with analysts and stakeholders, and help democratize YouTube's business data while ensuring data reliability and governance.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
• 5 years of experience with data warehouses, distributed data platforms, and data lakes.
• Experience in stakeholder management.

Responsibilities

• Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs.
• Code, work with APIs, build front-end products to automate and simplify processes.
• Build and maintain data platforms to enable data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets.
• 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.
• Engage with the analyst community, communicate with analysts to understand critical user journeys and data sourcing inefficiencies, advocatebest practices and lead analyst trainings.

Skills

Data modeling

APIs

Stakeholder mgmt

Big Data

Distributed data platforms

Data lakes

Education

Bachelor's degree in Computer Science, Mathematics, related field

Tools

MongoDB

SparkML

TensorFlow

NoSQL

Job description

info_outline

info_outline X In most instances, this position requires in-person interviews as part of the hiring process

• Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
  
• 5 years of experience with data warehouses, distributed data platforms, and data lakes.
• Experience in stakeholder management.
  

Preferred qualifications:

• Experience 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).
  
• Ability to navigate ambiguity and excel in a fast paced environment with multiple stakeholders.

About the job

Data is the fundamental building block for every tool and every insight. We build the data products 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 timely, accurate, and robust business intelligence. We build and maintain the YouTube 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. Ultimately, data engineers scale centralized reporting, to ensure the business is operating more effectively and efficiently.

As a Data Engineer within YouTube Analytics and Data Science, you will be part of a community of analytics professionals who work on impactful projects ranging from building and maintaining data platforms, developing critical data products 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.

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 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

• Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs.
• Code, work with APIs, build front-end products to automate and simplify processes.
• Build and maintain data platforms to enable data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets.
• 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.
• Engage with the analyst community, communicate with analysts to understand critical user journeys and data sourcing inefficiencies, advocatebest practices and lead analyst trainings.

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.