Build and operate data pipelines, analytics, and ML/GenAI components on Google Cloud as a core member of a delivery team.
Locations (2)
Bengaluru, Karnataka, India
India
Responsibilities
Build, test, and deploy data pipelines, transformations, dashboards, and ML/GenAI components on Google Cloud, from requirements through production support.
Participate in client discussions, clarify requirements, and communicate progress and risks clearly to leads and stakeholders.
Write clean, tested, documented code; participate in peer reviews; and monitor pipelines and models to resolve data quality and performance issues.
Apply DataOps/MLOps practices, CI/CD, and Infrastructure as Code (Terraform) within an Agile framework, and estimate your own tasks.
Contribute to reusable assets and accelerators, support junior team members, and keep building Google Cloud skills and certifications.
Build and operate data pipelines, analytics, and ML/GenAI components on Google Cloud as a core member of a delivery team.
Locations (2)
Bengaluru, Karnataka, India
India
Responsibilities
Build, test, and deploy data pipelines, transformations, dashboards, and ML/GenAI components on Google Cloud, from requirements through production support.
Participate in client discussions, clarify requirements, and communicate progress and risks clearly to leads and stakeholders.
Write clean, tested, documented code; participate in peer reviews; and monitor pipelines and models to resolve data quality and performance issues.
Apply DataOps/MLOps practices, CI/CD, and Infrastructure as Code (Terraform) within an Agile framework, and estimate your own tasks.
Contribute to reusable assets and accelerators, support junior team members, and keep building Google Cloud skills and certifications.
Requirements
Nice to have: Google Cloud Associate Cloud Engineer
Nice to have: Professional Data Engineer certification
