Data Engineer

Google

Bengaluru

On-site

INR 1,500,000 - 2,100,000

Full time

32 hours ago
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Job summary

Google Bengaluru is seeking a Data Engineer to design and build the next generation of our data infrastructure. You will architect, implement, and optimize scalable data pipelines and contribute to the data warehouse and AI-driven insights.

You will write efficient SQL and Python code, collaborate with senior stakeholders and engineers, and help define standards and best practices to elevate data quality and AI readiness.

Qualifications

  • Bachelor's degree or equivalent practical experience in a related field.
  • 4 years of data engineering/data analytics experience.
  • Strong SQL and Python coding skills for scalable data pipelines.

Responsibilities

  • Design, build, and maintain scalable data pipelines to ingest, process, and store data. Implement robust quality checks and monitoring to ensure data accuracy and reliability.
  • Write complex SQL queries for extraction, transformation, ad-hoc analysis, and automated reporting. Develop scalable data foundations and models designed to support AI/ML initiatives.
  • Develop, test, and deploy intelligent agents using Python and the Google ADK framework to automate tasks like data analysis, report generation, and system orchestration.
  • Partner with senior stakeholders, data scientists, and AI teams to understand complex requirements and architect robust long-term data solutions.
  • Develop tools to automate data processes, facilitate faster turnarounds, and increase efficiency. Monitor, troubleshoot, and tune data systems and pipelines.

Skills

SQL
Python
Data pipelines

Education

Bachelor's degree or equivalent practical experience
Master’s degree

Tools

Google ADK framework

Job description

Minimum qualifications
  • Bachelor's degree or equivalent practical experience.
  • 4 years of experience in a data engineering, data infrastructure, or data analytics role.
Preferred qualifications
  • Master’s degree in a relevant field.
  • 5 years of experience in a data engineering, data infrastructure, or data analytics role.
  • Experience delivering and maintaining complex data projects from conception to production.
About the job

As a Data Engineer, you will take a significant role in designing and building the next generation of our data infrastructure. You will be responsible for architecting, implementing, and optimizing complex and scalable data pipelines, moving beyond basic development to own key components of our data warehouse. This role requires a strong technical expert who can manage massive datasets, write highly efficient SQL and Python code, and collaborate effectively with senior stakeholders and other engineers. You will not only build innovative data foundations, and AI-driven insights solutions, but also help define the standards and best practices that elevate the entire team, driving data quality and AI-readiness initiatives.

Responsibilities
  • Design, build, and maintain scalable data pipelines to ingest, process, and store data. Implement robust quality checks and monitoring to ensure data accuracy and reliability.
  • Write complex SQL queries for extraction, transformation, ad-hoc analysis, and automated reporting. Develop scalable data foundations and models designed to support AI/ML initiatives.
  • Develop, test, and deploy intelligent agents using Python and the Google ADK framework to automate tasks like data analysis, report generation, and system orchestration.
  • Partner with senior stakeholders, data scientists, and AI teams to understand complex requirements and architect robust long-term data solutions.
  • Develop tools to automate data processes, facilitate faster turnarounds, and increase efficiency. Monitor, troubleshoot, and tune data systems and pipelines.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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