Google Inc.
Cloud Data Developer, Professional Services, Google Cloud
Google Inc., Austin, Texas, us, 78716
Cloud Data Developer, Professional Services, Google Cloud
Locations: Chicago, IL, USA; Toronto, ON, Canada; Austin, TX, USA; Boulder, CO, USA
Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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 Development 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.
About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web‑scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Data Developer, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to design scalable data processing systems, build efficient data pipelines, and resolve platform issues. In this role, you will collaborate with Google's cloud customers and our team to successfully implement Google Cloud products.
Compensation For US applicants : The US base salary range for this full‑time position is $150,000‑$220,000 plus bonus, equity, and benefits. Compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
For Canada Applicants : The Canada base salary range for this full‑time position is CAD 158,000‑162,000 plus bonus, equity, and benefits. Compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Responsibilities
Act as a trusted technical advisor to customers and solve Big Data issues.
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.
Equity and EEO 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.
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.
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Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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 Development 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.
About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web‑scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Data Developer, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to design scalable data processing systems, build efficient data pipelines, and resolve platform issues. In this role, you will collaborate with Google's cloud customers and our team to successfully implement Google Cloud products.
Compensation For US applicants : The US base salary range for this full‑time position is $150,000‑$220,000 plus bonus, equity, and benefits. Compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
For Canada Applicants : The Canada base salary range for this full‑time position is CAD 158,000‑162,000 plus bonus, equity, and benefits. Compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Responsibilities
Act as a trusted technical advisor to customers and solve Big Data issues.
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.
Equity and EEO 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.
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.
#J-18808-Ljbffr