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Builds and maintains scalable data pipelines using Scala, Spark, and cloud storage to power analytics for a global tech company.
Build and maintain cloud-based data pipelines using Microsoft Fabric, Azure, Python, and SQL to support analytics and reporting for a modern data platform.
Build and maintain scalable data pipelines and applications on Azure Databricks using Python, PySpark, and SQL, while collaborating with cross-functional teams to deliver robust, cost-efficient data solutions.
Build and maintain data pipelines and applications that produce official financial statistics for Belgium’s central bank, using SQL, Python/SAS, and Databricks.
Agile Lab in Italy is seeking an Engineering Manager to lead multiple data engineering teams, planning demand, capacity and priorities, and steer architectural decisions. You will drive technical direction and ensure…
Lead a team to design and build scalable backend and data platforms for a global travel platform using Java, Scala, or C#.
Design and deploy scalable ML solutions on Google Cloud, collaborating with architects and engineers to implement MLOps practices and production-grade AI systems.
Design and build cloud-native and on-premise data pipelines using Spark, Kafka, and cloud platforms to ingest, process, and analyze large datasets for enterprise clients.
Designs and builds data pipelines on Databricks, integrating cloud services with Python/Scala in a hybrid Milan role.
Build and deploy ML models, GenAI use cases, and predictive analytics for a major bank using Python, SQL, and MLOps tools.
Designs modular AI components and orchestrates agentic workflows on Azure AKS, moving GenAI prototypes into scalable enterprise production.
Build and maintain cloud-based data platforms and AI solutions, integrating heterogeneous data sources to enable advanced analytics, Generative AI, and machine-learning use cases for supply-chain and industrial clients.
Designs and builds secure, scalable real-time data pipelines and systems on Google Cloud, using Scala/Java/Python and BigQuery to enable data-driven decisions.
Develops AI models and data pipelines using Python, Spark, and cloud platforms for clients in an outsource setting.
Design and build large-scale data pipelines using Apache Spark and Microsoft Azure, with a focus on machine learning workflows.
Designs batch and streaming data pipelines and analyzes large datasets using SQL, Python, and Scala, collaborating with data engineering teams.
Build and maintain large-scale backend services and data pipelines for paid marketing systems, integrating ad platforms like Google Ads and Meta to optimize global travel ad campaigns.
Build end-to-end features in Python (backend) and React (frontend) for a cloud-native investigative intelligence platform that scales to petabyte datasets and integrates generative AI and graph algorithms.
Designs and builds ML data pipelines on Databricks, migrating workloads to cloud and maintaining distributed infrastructure with Grafana/Prometheus.
Builds and maintains data pipelines and integrates databases using Python, Java/Scala, and SQL for an IT consulting team in Turin.
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