1 month ago
Bengaluru, IndiaSenior
Responsibilities
- Gather requirements and scope projects with subject matter experts, business users, and executive stakeholders.
- Code, work with APIs, and build front-end products that automate and simplify processes.
- Build and maintain data platforms supporting data reliability, integrity, governance, and trustworthy datasets.
- Write and review requirements, design, technical, and end-user documentation for data systems.
- Develop data standards and policies and engage analysts to identify user journeys and data sourcing inefficiencies.
- Advocate data best practices and lead analyst training sessions.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
- Five 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.
- Preferred experience with data warehouse architectures, infrastructure components, ETL/ELT, and reporting or analytics environments.
- Preferred experience with Big Data, information retrieval, data mining, machine learning, or highly available multi-tier applications.
Tech Stack
Categories
Data Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.