Google is seeking a Data Engineer specializing in Analytics and Data Science to join their team in Bengaluru. The ideal candidate should hold a bachelor’s or master’s degree in a quantitative field such as Computer Science, Engineering, Statistics, or Math. Additionally, applicants should have at least one year of relevant experience. This role offers the opportunity to work within a dynamic team, contributing to advanced data analytics and engineering projects.
Company Name: Google
Job Role: Data Engineer, Analytics and Data Science
Education Required: Bachelor’s degree, Master’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Math).
Experience Required: 1 year
Job Location: Bengaluru
Role and 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 training.
Required Skills and 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.).
- 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.
