Orangebits - Data Engineer - Google Cloud Platform

Overview

5 to 10 Years

Location : Hyderabad

Work Mode : Hybrid (3 days WFO in a week)

Key Responsibilities

• Design, develop, and maintain data pipelines and data processing workflows on GCP.
• Implement scalable solutions using BigQuery and Dataflow for large-scale data processing.
• Build and manage AI/ML pipelines using Vertex AI and Cloud AI Pipelines.
• Develop orchestration workflows for data and ML pipeline automation.
• Ensure reliability, scalability, and performance of cloud-based data platforms.
• Collaborate with data engineers, ML engineers, and product teams to deliver analytics-ready datasets and AI solutions.
• Monitor and optimize pipeline performance and cloud resource utilization.
  
  

• Strong experience with Google Cloud Platform (GCP).
• Hands-on experience with BigQuery and Dataflow.
• Experience with Vertex AI and Cloud AI Pipelines.
• Experience building data pipelines and data processing workflows.
• Knowledge of orchestration and automation frameworks.
• Strong understanding of cloud data architecture and distributed data processing.
  
  

(ref:hirist.tech)