Youtube Hiring Data Engineer - Analytics and Data Science – Latest MNC Jobs

Youtube released new job notification for the post of Data Engineer (Analytics and Data Science) for Bangalore locations. Candidates with Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Math, Physics, Engineering), or equivalent practical experience & 1 year of experience in data engineering or business intelligence roles are eligible to apply. Candidates advised to apply soon before the link expires

Name of the Organization: Youtube

Notification ID:

Positions: Data Engineer

Location: Bangalore

Salary: As per company Norms

Qualifications:

• Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Math, Physics, Engineering), or equivalent practical experience.
• 1 year of experience in data engineering or business intelligence roles.
• Experience with relational databases, including SQL queries, database definition, and schema design.
• Experience with one or more programming languages (e.g., Python, Java, C++, etc.).

Preferred qualifications:

• Master’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Math).
• Experience with data warehouses, distributed data platforms, and data lakes.
• Ability to navigate ambiguity and work in a fast-moving environment with multiple stakeholders.
• Excellent business and technical communication, organizational, and problem-solving skills.
• Excellent structured thinking skills, with the ability to break down multi-dimensional problems.

Responsibilities

• 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.
• Work with analysts to scale value-creating capabilities, including data integrations and transformations, model features, as well as statistical and machine learning models.
• Drive standards in 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.

Online Application Link – Click Here

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