The application window will be open until at least September 17, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Austin, TX, USA; Boulder, CO, USA; Toronto, ON, Canada.

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
• 5 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
• Experience writing software in Java, C++ and Python.
• Experience managing client-facing projects, troubleshooting technical issues, and working with Developing and Sales Services teams.

PREFERRED QUALIFICATIONS:

• Experience in technical consulting.
• Experience working with data warehouses, data lake, lake house including data technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
• Experience working with Big Data, information retrieval, data mining, or machine learning.
• Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
• Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.

• Act as a trusted technical advisor to customers and solve complex Big Data challenges.
• Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders.
• Analyze on-premises and cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform.
• Travel regularly up to 30% of the time as needed, in-region for meetings, technical reviews, and onsite delivery activities.
• Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities.
  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