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Job Type
Full Time
Job Details
Minimum qualifications:
- Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Math, Physics, Engineering), or equivalent practical experience.
- 8 years 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 language (e.g., Python, Java, C++, etc.).
- Master’s degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Math).
- Experience with data warehouses, distributed data platforms, and data lakes.
- Ability to break down multi-dimensional problems.
- Ability to navigate ambiguity in a fast-paced environment with multiple stakeholders.
- Excellent business and technical communication, organizational, and analytical skills.
- 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 to enable data-driven decision-making.
- Work with analysts to scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models.
- Drive data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets, business intelligence products, and analyses.
- Communicate with analysts to understand user journeys and data sourcing inefficiencies.
About the Company
Google Inc.
Mountain View, CA, United States
Build for everyone Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university... Read more