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Google Cloud Solutions Engineer

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Onsite

Google Cloud Solutions Engineer

Bidmath

Google Cloud Solutions Engineer

Skills

Google Cloud PlatformSQL QueriesBig DataPythonGolangData AnalysisMachine LearningGoogle Analytics

6 years ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

16 October 2026

What they need


Job highlights

  • Bachelor s degree in Computer Science,a related technical field or equivalent practical experience
  • Minimum Qualifications .
  • Experience with developing machine learning models,software,applications and programming languages (Python,Go,SQL,HTTP,HTTPS)
  • Industry experience in technical support,professional services,data and analytics

Bidmath is looking for an experienced Google Cloud Solutions Engineer to join our growing data science team. The key responsibilities would span developing and maintaining cloud-based applications in relation to big data, machine learning and analytics projects which would ultimately drive further effectiveness and efficiency for our clients.

Ideally you would have hands-on software development background in GCP and basic knowledge in data manipulation and segmentation with BigQuery with an ambition to continue learning and to become an expert in Cloud for Marketing.

Your Responsibilities

  • Support the vision and educate clients towards Google Cloud based solutions that empower and transform programmatic and analytics projects.
  • Advise internal teams on the technical best practices across the cloud solutions and the best implementation process.
  • Develop and maintain machine learning models and algorithms leveraging
  • BigQuery and log level data and raw customer data from various sources.

Minimum Qualifications

  • Bachelor s degree in Computer Science, a related technical field or equivalent practical experience.
  • Google Cloud Platform Fundamentals: Core infrastructure
  • Google Cloud Platform Fundamentals: Big Data Machine Learning
  • Experience with developing machine learning models, software, applications and programming languages (Python, Go, SQL, HTTP, HTTPS).
  • Industry experience in technical support, professional services, data and analytics.

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