"Google Cloud Platform Data Engineer" - 100% Remote Role
Role: Sr Data Engineer
Duration: 12 Months
Location: Remote
Client Location: Atlanta, GA
Note: Need 15+ years experience candidate.
Job Description
We are looking for Sr Data Engineer Role experience for a remote position in US.
Job Description:
As a Data Engineer, you''ll guide Google customers to develop, configure, deploy and administer their data platform solutions.
Together with the team, you will support customer implementations of Google Cloud products through architecture guidance, best practices, data migration, database design, database management, performance tuning, CI/CD, capacity planning, implementation, troubleshooting, monitoring, dataflow, cloud functions and more.
Responsibilities:
Data Flow Design, Code Reviews and Feedback, Address Tech Debt (AI generated code base)
Preferred Qualifications :
(PQs) Experience with database management tools for backups, recovery, snapshot management, sharding, partitioning and database performance tuning.
Experience working with cloud databases such as AlloyDB, CloudSQL, Big Query Experience with MLOps, data warehousing, and data pipeline development, including ETL and ELT, dataflow, cloud functions.
Experience with application development.
Experience developing, deploying, and managing machine learning models, including experience writing software in one or more languages, such as Java, Python, GolangIf you have suitable candidates available immediately.
Hands-On experience.
• Google Cloud Platform (Very strong)
• BEAM
• Data Flow OR FHIR (Strong)
• Strong AI experience.
• If you get Gemini Enterprise experience with this, it’s a huge plus. Not mandatory though.
Apply Now
Apply Now
Duration: 12 Months
Location: Remote
Client Location: Atlanta, GA
Note: Need 15+ years experience candidate.
Job Description
We are looking for Sr Data Engineer Role experience for a remote position in US.
Job Description:
As a Data Engineer, you''ll guide Google customers to develop, configure, deploy and administer their data platform solutions.
Together with the team, you will support customer implementations of Google Cloud products through architecture guidance, best practices, data migration, database design, database management, performance tuning, CI/CD, capacity planning, implementation, troubleshooting, monitoring, dataflow, cloud functions and more.
Responsibilities:
Data Flow Design, Code Reviews and Feedback, Address Tech Debt (AI generated code base)
Preferred Qualifications :
(PQs) Experience with database management tools for backups, recovery, snapshot management, sharding, partitioning and database performance tuning.
Experience working with cloud databases such as AlloyDB, CloudSQL, Big Query Experience with MLOps, data warehousing, and data pipeline development, including ETL and ELT, dataflow, cloud functions.
Experience with application development.
Experience developing, deploying, and managing machine learning models, including experience writing software in one or more languages, such as Java, Python, GolangIf you have suitable candidates available immediately.
Hands-On experience.
• Google Cloud Platform (Very strong)
• BEAM
• Data Flow OR FHIR (Strong)
• Strong AI experience.
• If you get Gemini Enterprise experience with this, it’s a huge plus. Not mandatory though.
Apply Now
Apply Now