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Builds and maintains data platforms using Databricks, Python, PySpark, and SQL, collaborating with global teams to design scalable data solutions.
Build and maintain ML models and data pipelines using Python, PySpark, and AWS SageMaker for advanced analytics projects.
Builds and maintains data pipelines using PySpark, Spark SQL, and Azure Lakehouse to power BI and analytics workloads.
Build and maintain data pipelines, ETL processes, and analytics solutions using Palantir Foundry, Python, Spark, and data visualization tools.
Designs and builds scalable data pipelines using PySpark and Python to ensure data quality and traceability for a product team.
Builds and optimizes Spark-based data pipelines on AWS for analytics, ML, and reporting, working with PySpark/Spark SQL in a hybrid Madrid role.
Build and scale a modern data platform using PySpark, SQL, Python, and Databricks for an AI-driven product company.
Build and optimize large-scale data pipelines using Scala/Spark and AWS to power analytics, ML, and reporting for a digital bank, ensuring reliable data flows for business decisions.
Senior Data Engineer to design, build, and maintain ETL pipelines and data models in Palantir Foundry for a long-term Madrid project, using Python, PySpark, and data-quality tools.
Designs and builds scalable data pipelines on Databricks using PySpark for a fintech company in Madrid.
Lead cloud and on-premise data projects using PySpark, SparkSQL, and Python, designing scalable data architectures and optimizing SQL/NoSQL systems for international clients.
Senior Data Engineer at KPMG España builds and optimizes large-scale data pipelines using PySpark and Python to support critical business decisions.
Build and maintain scalable ETL/ELT pipelines and data platforms using Databricks, PySpark, Python and SQL to deliver clean, reliable data for analytics and AI workloads.
Lead a team to build and maintain scalable data pipelines using Azure, Databricks, PySpark, and CI/CD, delivering production-grade data products from raw to curated layers.
Senior Data Engineer builds and optimizes PySpark/Python pipelines to transform and govern large-scale data in KPMG’s data lake, ensuring quality and enabling business decisions.
Build and optimize end-to-end data pipelines using Python, PySpark, and Databricks for large-scale analytics projects.
Data Engineer Intern builds Azure-based data pipelines and insights using Fabric, Synapse, and Power BI to help clients become data-driven.
Builds and optimizes PySpark/Python data pipelines and data-quality rules for a data lake, collaborating with data-office teams to ensure robust, scalable solutions.
Build and maintain end-to-end data pipelines and BI dashboards for an ecommerce retailer using Databricks, PySpark, SQL and Power BI.
Build and own scalable data pipelines and analytics platforms to support AI adoption and business impact, collaborating with cross-functional teams and mentoring junior engineers.
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