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

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.