Google is hiring for an entry level Data Engineer

Position: Data Engineer, Analytics and Data Science

Company: YouTube (Google India)

Location: Bangalore, Karnataka, India

Job type: Full-time

Job mode: Hybrid

Job requisition id: Not provided

Years of experience: 1 year minimum

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Company description:

• YouTube, a subsidiary of Google, is a leading online video platform where users can share and discover content.
• YouTube fosters creativity and community by providing a platform for individuals and organizations to express themselves through videos.
• The company is committed to inclusivity, diversity, and creating an environment where everyone's voice is heard.

Profile overview:

• As a Data Engineer within YouTube Analytics and Data Science, you will join a team of analytics professionals dedicated to various projects aimed at enhancing data-driven decision-making.
• You will work on developing data pipelines, optimizing data architecture, and collaborating with cross-functional teams to derive insights from data.
• This role offers the opportunity to work at the intersection of technology and creativity, contributing to the advancement of analytics capabilities within YouTube.

Qualifications:

• Minimum 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.

Additional information:

• Your privacy and rights are protected under Google's Applicant and Candidate Privacy Policy.
• Google is committed to diversity and equal opportunity employment, fostering a culture of belonging and providing accommodations as needed.
• English proficiency is required for all roles unless otherwise specified.
• Google does not accept unsolicited resumes from recruitment agencies.

Please click here to apply.

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