Google Career | Data Engineer/Data Science

Google Career 2024: Hiring Freshers as Data Engineer/Data Science in Bangalore, India. You can find more details about eligibility and the application process below.

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Google Hiring Details :-

Company Name:Google
Post Name:Data Engineer/Data Science
Salary: 7 – 15 LPA (via Glassdoor)
Degree:Bachelor’s/Master’s Degree
Batch:2018/2019/2020/2021/2022/2023
Experience:1 year
Job Location:Bangalore, India

Key roles 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 trainings.

Academic 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.).

Knowledge, skills and attributes:-

  • 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.

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