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Google Entry Level Jobs 2024 | Join as a Data Engineer, Analytics and Data Science, YouTube in Bangalore

Introduction

Are you ready to start your career with one of the most innovative companies in the world? Google is offering entry-level positions for Data Engineers in their YouTube Analytics and Data Science team in Bangalore for 2024. This is a fantastic opportunity to work at the forefront of technology, analytics, and data science while contributing to a platform that impacts millions of users globally.

Minimum Qualifications

To qualify for this exciting role, you need:

A Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Math, Physics, Engineering), or equivalent practical experience.
At least 1 year of experience in data engineering or business intelligence roles.
Proficiency 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

While not mandatory, the following qualifications can give you an edge:

A 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.

About the Job

As a Data Engineer within YouTube Analytics and Data Science, you will join a community of analytics professionals working on a variety of projects. Your tasks will range from developing data pipelines that help run the business to building tools that analyze content partnerships and the creator ecosystem. Your insights will guide business leadership on the effectiveness of partner-facing business teams.

The team leverages SQL and YouTube’s ETL systems to produce useful datasets, establish best practices for data sets and reporting, and develop expertise in various data domains. At YouTube, we believe in giving everyone a voice and building a better world through community and stories. We strive to show people the world, explore new ideas, solve real problems, and have fun together.

Responsibilities

In this role, you will:

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 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, and 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.

FAQs

Q1: What is the work environment like at Google’s Bangalore office? A1: Google’s Bangalore office is known for its dynamic and inclusive work culture. Employees enjoy a collaborative environment that fosters innovation, creativity, and professional growth.

Q2: What kind of projects will I work on as a Data Engineer at YouTube? A2: You will work on projects involving the development of data pipelines, creation of tools for analyzing content partnerships, and supporting the creator ecosystem. Your work will directly impact business decision-making and strategic initiatives.

Q3: Are there opportunities for career advancement? A3: Yes, Google provides ample opportunities for career growth. You can advance through various roles in data engineering, analytics, and data science, and even explore cross-functional moves within the company.

Q4: What skills are essential for success in this role? A4: Critical skills include proficiency in SQL and programming languages like Python, strong analytical and problem-solving abilities, excellent communication, and the ability to work in a fast-paced environment with multiple stakeholders.

Q5: How does Google support professional development? A5: Google offers numerous resources for professional development, including training programs, mentorship, and opportunities to work on challenging projects that expand your skill set.

Conclusion

Joining Google as a Data Engineer in YouTube Analytics and Data Science is a unique opportunity to kickstart your career with one of the world’s leading tech companies. With a focus on innovation, community, and professional growth, this role offers the perfect environment for aspiring data professionals. If you meet the qualifications and are ready to take on exciting challenges, apply today and become part of a team that shapes the future of digital content and community.

How to Apply:

Apply Link: Click Here To Apply for Google