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Devoteam, a Google Cloud partner, is hiring a Senior Data Engineer/Cloud Architect to design and deploy scalable data solutions on GCP (BigQuery, Dataflow, Cloud Storage), handle security, monitoring and IAM, automate CI/CD with Terraform, and run POCs — in a hybrid team based in Île-de-France, France.
Data Engineer at Devoteam, a global tech consulting firm and Google Cloud partner, based in Jakarta, Indonesia. Day to day: designing data architectures, building and maintaining ETL pipelines, data warehouses and lakes, and integrating data sources using Python/SQL, big data tools (Spark, Kafka, Airflow) and cloud platforms, with GCP certifications required within 3 months of joining.
Devoteam, a Google Cloud partner, is hiring a Jakarta-based Data Engineer to design scalable data architectures, build robust ETL pipelines, and manage data warehouses and data lakes. Day-to-day work centers on Python, SQL, cloud platforms, and data governance to support analytics and reporting.
A Data Engineer role at a Google Cloud partner focused on designing, developing, and maintaining high-performance data pipelines using GCP services like BigQuery, Dataflow, and Cloud Storage.
Build and deploy forecasting models for budgeting and supply-chain decisions using Google Cloud and Vertex AI.
Lead a team to design and build scalable data pipelines on Google Cloud using Python, SQL, and Terraform for enterprise clients.
Designs and deploys GCP data pipelines on BigQuery and Dataflow, automates infrastructure with Terraform, and maintains reliable environments using CI/CD and Kubernetes.
Designs and deploys robust GCP data solutions (BigQuery, Dataflow, Cloud Storage) with security, monitoring, and automation using Terraform and Python.
Designs, deploys, and secures Google Cloud data pipelines (BigQuery, Dataflow, Cloud Storage) using Terraform and Python, while automating CI/CD and cloud operations for enterprise clients.
Design and deploy scalable data solutions on Google Cloud for clients, integrating security and automation using GCP, Terraform, and Agile practices.
Build and maintain high-performance GCP data pipelines using BigQuery, Dataflow, and Terraform, and guide clients through cloud data transformations.
Design and build efficient data pipelines using BigQuery and Dataflow for a digital transformation consultancy, collaborating with client teams to meet data needs.
Designs and builds scalable GCP data pipelines using BigQuery, Dataflow, Pub/Sub and Terraform for modern cloud architectures.
Deploys and manages cloud infrastructure on GCP, administers Kubernetes clusters, and builds CI/CD pipelines with Terraform, Ansible, and monitoring tools.
Build and manage cloud-native GCP infrastructure using Terraform and Ansible, run and optimize GKE clusters, and automate CI/CD pipelines with Cloud Build while ensuring monitoring and cost control.
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