Data Engineer, YouTube India

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Analysis · Business Intelligence

In short

Data Engineer needed in Bengaluru, India, to build and maintain data platforms and ETL systems for YouTube analytics. Requires a Bachelor's degree, 5 years of experience with data warehouses and programming, and strong stakeholder management skills.

Responsibilities

Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders.
Code, work with APIs, build front-end products to automate and simplify processes.
Build and maintain data platforms for data reliability, integrity, and governance.
Write and review end-user and technical documents, including requirements and design documents.
Engage with the analyst community to understand user journeys, advocate best practices, and lead trainings.

Requirements

Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
5 years of experience with data warehouses, distributed data platforms, and data lakes.
Experience writing software in Java, C++, Python, Go, or JavaScript.
Experience in stakeholder management.

Desired Qualifications

Experience working with data warehouses, including technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools.
Experience working with Big Data, information retrieval, data mining, or machine learning.
Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
Ability to navigate ambiguity and excel in a fast-paced environment with multiple stakeholders.

Benefits

Opportunity to work on impactful projects within YouTube Analytics and Data Science.
Contribute to democratizing YouTube’s business data and guiding business leadership.
Work at the intersection of technology and boundless creativity.

Skills

JavaC++PythonGoJavaScriptNoSQLMongoDBSparkMLTensorFlow

#Data Engineering#YouTube#Analytics#Data Science#ETL#Business Intelligence

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