Found Description
Data Engineer with AI (Python & GCP) Experience Required : 5 - 9 Years Location : Open/As per Business Requirement About the Role :
We are looking for a highly skilled Data Engineer with AI expertise to design, develop, and optimize scalable cloud-based data platforms on Google Cloud Platform (GCP). The ideal candidate will have strong experience in data engineering, cloud-native architectures, ETL/ELT pipelines, real-time data processing, infrastructure automation, and Generative AI solutions. The candidate will work closely with data architects, business stakeholders, and AI teams to build robust data ecosystems that support advanced analytics, machine learning, and GenAI applications. Key Responsibilities :
- Design, develop, and maintain scalable data pipelines and data processing frameworks on GCP.
- Build and optimize ETL/ELT solutions using Python, PySpark, and GCP-native services.
- Develop real-time and batch data processing solutions using Kafka, Pub/Sub, Data...
We are looking for a highly skilled Data Engineer with AI expertise to design, develop, and optimize scalable cloud-based data platforms on Google Cloud Platform (GCP). The ideal candidate will have strong experience in data engineering, cloud-native architectures, ETL/ELT pipelines, real-time data processing, infrastructure automation, and Generative AI solutions. The candidate will work closely with data architects, business stakeholders, and AI teams to build robust data ecosystems that support advanced analytics, machine learning, and GenAI applications. Key Responsibilities :
- Design, develop, and maintain scalable data pipelines and data processing frameworks on GCP.
- Build and optimize ETL/ELT solutions using Python, PySpark, and GCP-native services.
- Develop real-time and batch data processing solutions using Kafka, Pub/Sub, Data...