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Build and maintain the data foundation for SNN Finans using Snowflake, dbt Cloud, and ELT pipelines, creating business layers and data products for reporting and analytics.
Build and maintain cloud-native data platforms (Azure/AWS) for clinical analytics, integrating SAS Viya and Medidata, while ensuring GxP compliance and automation.
Build, secure, and automate cloud-based data platforms for a biopharma company, using JavaScript/TypeScript/Svelte, C#, Python, Go, and cloud-native tools on Azure/AWS to support clinical analytics and regulatory compliance.
Build and maintain clinical data platforms using SAS Viya 4 on Kubernetes and Medidata Rave in a GxP-regulated environment.
Builds and maintains statistical data pipelines and applications using SAS, Python, R, and SQL for official government surveys and data quality processes.
Senior DataOps Engineer builds and automates data pipelines for a banking data platform, writing ETL scripts and ensuring high data quality with SQL and tools like SAS DIS.
Build and maintain end-to-end data pipelines and analytical models using Databricks, Microsoft Fabric, Python, SQL and Spark to deliver AI-driven insights for enterprise clients.
Design and build scalable data pipelines on GCP (BigQuery, Cloud Composer) to feed AI/ML models, using Python, SQL, dbt and Data Vault 2.0.
Build and optimize scalable data pipelines and AI solutions using cloud platforms, SQL, ETL tools, and Python/R for European clients.
Build and optimize scalable data pipelines and AI solutions using cloud platforms, ETL tools, and SQL for enterprise clients across Europe.
Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
Senior data engineer builds and maintains data pipelines using Databricks, Python, and SQL to support banking analytics and cloud migration at a top Polish bank.
Administers SAS environments (SAS 9 and SAS Viya), configures components, and supports model deployment for ING’s analytics teams.
Senior DevOps Engineer maintains GCP/GKE and SAS Viya 4 anti-fraud systems, automating deployments with Kubernetes, Kustomize, and CI/CD while integrating Java/Spring Boot backends.
Build and optimize scalable data pipelines and AI platforms using cloud, ETL tools, and SQL for enterprise clients.
Configure and maintain SAS components on the SAS Viya platform to deploy analytical models, manage artefacts, and ensure reliable scoring workflows for ING's risk and analytical teams.
Build predictive models and analytics to guide lending and risk decisions for Canadian agriculture, using Python, R, SAS, and AWS.
Design, deploy, and manage cloud infrastructure on Azure and AWS, focusing on Kubernetes orchestration, containerization, and automation to support AI/data platforms for global clients.
Maintain and automate SAS Viya environments for ING’s modelling teams, deploying analytical/risk models and troubleshooting platform issues in Azure.
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