YouTube is an internationally popular online video-sharing platform that allows users to upload/share / and view videos. YouTube established in 2005, has become a dominant force in digital media, offering a diverse range of content, including music videos, vlogs, educational tutorials, and more. Users can interact with videos through likes, comments, and subscriptions to channels. This global platform has played a significant role in shaping Internet culture and has become a primary source of entertainment, information, and communication for millions of people worldwide. YouTube’s user-friendly interface and vast content library contribute to its widespread popularity and influence on online video consumption.
What are the advantages that come with being employed at YouTube:
- Engaging in meaningful work has the power to positively impact deserving individuals.
- Empowering Youth by providing them with the necessary tools and skills for advancing in their careers.
- Promoting diversity in gender and culture to support the strength of the team.
Job Details:
Job Title: Data Engineer Unit: YouTube Job Place: India Deadline: Opened
Education & Qualifications Requirements:
Education:
- Master’s degree in computer science | Software Development.
- Master’s degree in data Structure | Algorithms.
- Full Understanding of programming languages.
Work Experiences:
- Full experience in the Field of Computer science and Software Engineering.
- Professional Experience in Programming languages.
- Full work experience in developing accessible technologies.
- Perfect experience in cloud computing standards,
Languages:
- Fluency in the English language is Required (both oral and written).
Key Responsibilities:
- Conducting all requirements such as gathering and project scoping sessions with the experts of the subject matter, business users, and executive stakeholders to discover and define business data needs.
- Designing, building, and optimizing 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.
- Working closely with analysts to produce and scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models.
- Driving the highest standards in data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets, business intelligence products, and analyses.
- Engaging with the analyst community, communicating with analysts to understand critical user journeys and data sourcing inefficiencies, advocating best practices, and leading analyst training.
Deadline:
The deadline for the opportunity is open.