Chennai, Tamil Nadu, India
Space Exploration & Research, Information Technology
Full-Time
Google
Overview
Minimum qualifications:
In this role, you will have the opportunity to design and implement medium-scale data pipeline solutions combining data from multiple internal and external data sources. This data will serve as the foundation for various investigative and data science initiatives, providing our cross-functional stakeholders with unique insights and values not found elsewhere. You will also incorporate GenAI into new and existing operations to drive scale and efficiency. You will have data engineering skills and a strong business acumen to navigate the complex requirements involving multiple cross-functional teams.
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
- Bachelor's degree or equivalent practical experience.
- 3 years of experience coding in one or more programming languages.
- 3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
- 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 with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.
- 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
- 3 years of experience developing project plans and delivering projects on time within budget and scope.
- Experience with Machine Learning for production workflows.
In this role, you will have the opportunity to design and implement medium-scale data pipeline solutions combining data from multiple internal and external data sources. This data will serve as the foundation for various investigative and data science initiatives, providing our cross-functional stakeholders with unique insights and values not found elsewhere. You will also incorporate GenAI into new and existing operations to drive scale and efficiency. You will have data engineering skills and a strong business acumen to navigate the complex requirements involving multiple cross-functional teams.
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
- Manage YouTube data feeds and provide ongoing technical support to internal partners for a wide range of YouTube’s viewership metrics initiatives.
- Provide infrastructure solutions for both external audience measurement partner integrations and internal partner engineering teams.
- Guarantee the technical aspects of YouTube viewership data integrations by providing technical guidance and documentation.
- Identify, drive, and optimize new third-party reporting opportunities by leveraging YouTube technologies.
- Write and maintain lines of code (e.g., Python, C++, etc.) to support Extract, Transform, Load (ETL) pipelines.
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