Senior Data Engineer
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The role
The Senior Data Engineer will design, develop, and maintain scalable data pipelines for real-time and batch processing.
You will own ETL pipelines and collaborate with data scientists, analysts, and stakeholders to translate requirements into robust data flows.
Implement data ingestion, transformation, and data quality practices to ensure data accuracy, reliability, and security with GDPR considerations.
Architect data lakes using GCP tools such as BigQuery and Cloud Storage, and orchestrate workloads with Airflow, DBT, Docker, and Kubernetes (GKE).
Advance ML/AI workflows with Vertex AI, Kubeflow, or TFX, and manage model deployment, versioning, and retraining.
Champion data observability, CI/CD, and cost-efficient storage optimizations while collaborating across cross-functional teams.
You will own ETL pipelines and collaborate with data scientists, analysts, and stakeholders to translate requirements into robust data flows.
Implement data ingestion, transformation, and data quality practices to ensure data accuracy, reliability, and security with GDPR considerations.
Architect data lakes using GCP tools such as BigQuery and Cloud Storage, and orchestrate workloads with Airflow, DBT, Docker, and Kubernetes (GKE).
Advance ML/AI workflows with Vertex AI, Kubeflow, or TFX, and manage model deployment, versioning, and retraining.
Champion data observability, CI/CD, and cost-efficient storage optimizations while collaborating across cross-functional teams.
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