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Build and maintain scalable data pipelines and ETL processes using Python, Spark, and cloud platforms to feed analytics and reporting needs.
Build and maintain scalable data pipelines and a Big Data platform using Python, Scala (Spark), and SQL to process large datasets for analytics and business solutions.
Build and maintain data pipelines, ETL workflows, and warehouses to feed analytics and BI dashboards for an edtech platform.
Build and maintain data pipelines and models for BI, ML, and AI systems at a fast-growing Italian telecom, using Python, SQL, and ETL tools.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform operational data into a governed Lakehouse architecture for analytics and business services.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze/Silver/Gold layers.
Build and optimize scalable data pipelines on Databricks using Spark, Delta Lake, and Unity Catalog to power analytics and ML workflows for enterprise clients.
Senior data engineer building and maintaining ETL pipelines, data warehouses, and analytics models using Airflow, PostgreSQL, Azure, and GCP for a Valencia-based agency.
Designs and maintains scalable data pipelines, ETL/ELT processes, and cloud-based data platforms to support analytics and AI in high-security sectors like defense.
Build and optimize Java-based backend services with Spring Boot and SQL, plus ETL pipelines and BI reporting using Pentaho and Apache NiFi.
Designs and maintains data pipelines, ETL processes, and data warehouses to support analytics and business intelligence using SQL, Python, and cloud platforms.
Senior data engineer designs and implements ETL pipelines, writes PL/SQL and Python code, and builds reports in Power BI/Qlik for large-scale client projects.
Maintain and extend the SRMS rail maintenance platform, integrating it with external systems via NiFi, REST/SOAP, and SQL while migrating on-prem servers to the cloud.
Maintains and evolves data integrations between SRMS and external systems using NiFi, REST/SOAP, and MS SQL Server, while managing on-prem and cloud server environments.
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.
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 big-data pipelines for European air-traffic systems using Databricks, Spark, Kafka, and Oracle; ensure data quality and industrialize production environments.
Design and build scalable data ingestion pipelines and microservices using Java, Spark, and Spring Boot, while maintaining big data infrastructure on Cloudera and GCP.
Build and optimize scalable data pipelines, ETL processes, and cloud-based data architectures using Python/Java/Scala, Spark, Kafka, and cloud platforms (AWS/Azure) to support large-scale analytics and client projects.
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