Data Engineer
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 3 years of experience in a data engineering, data infrastructure, or data analytics role.
- Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript.
Preferred qualifications:
- Experience with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
- Experience with data analysis, including statistics, and ML model development (data preparation, model selection, evaluation, tuning).
- Experience in scripting languages like Python for data manipulation, analysis, and automation.
- Ability to monitor, troubleshoot, and tune data systems and pipelines to improve efficiency.
- Ability to develop tools and systems to automate data processes, and increase overall efficiency, with proficiency in programming languages (e.g., SQL, Python), producing readable and well-structured code.
- Ability to deliver and maintain data projects from conception to production.
About the job
As a Data Engineer on the Data Structures and Algorithms (DSA) team, 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 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, managing data quality and AI-readiness initiatives.
Responsibilities
- Design, build,and maintain scalable and reliable data pipelines to ingest, process, and store data from various sources. Implement robust data quality checks and monitoring systems to ensure data accuracy, integrity, and reliability.
- Write complex SQL queries for data extraction and transformation, enabling both Ad-hoc analysis and automated reporting. Conduct quantitative data analysis to support business decisions and identify opportunities for improvement.
- Develop and manage robust, scalable data foundations and models specifically designed to support AI/ML initiatives and the generation of AI-driven insights.
- Develop, test, and deploy intelligent agents using Python and the Google ADK framework to automate complex tasks, such as data analysis, report generation, and system orchestration.
- Proactively partner with executive business stakeholders, and data scientists.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.