Found Description
About the Role
We are seeking a highly skilled Data Engineer with expertise in Google Cloud Platform (GCP), Generative AI, Python, SQL, ETL, Dataproc, and Airflow. The ideal candidate will play a key role in designing and implementing scalable cloud-based data platforms, modern ETL pipelines, and AI-enabled data solutions.
Key Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines using Python and SQL.
Develop cloud-native data engineering solutions on GCP.
Implement batch and real-time data processing pipelines using Dataproc and Dataflow.
Build and manage workflow orchestration using Apache Airflow / Cloud Composer.
Work on large-scale structured and unstructured datasets for analytics and AI use cases.
Integrate Generative AI and LLM-based capabilities into enterprise data platforms.
Optimize BigQuery workloads and improve data processing efficiency.
Collaborate with data scientists, analysts, architects, and business teams to deliver d...
We are seeking a highly skilled Data Engineer with expertise in Google Cloud Platform (GCP), Generative AI, Python, SQL, ETL, Dataproc, and Airflow. The ideal candidate will play a key role in designing and implementing scalable cloud-based data platforms, modern ETL pipelines, and AI-enabled data solutions.
Key Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines using Python and SQL.
Develop cloud-native data engineering solutions on GCP.
Implement batch and real-time data processing pipelines using Dataproc and Dataflow.
Build and manage workflow orchestration using Apache Airflow / Cloud Composer.
Work on large-scale structured and unstructured datasets for analytics and AI use cases.
Integrate Generative AI and LLM-based capabilities into enterprise data platforms.
Optimize BigQuery workloads and improve data processing efficiency.
Collaborate with data scientists, analysts, architects, and business teams to deliver d...