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Build and maintain cloud-based data pipelines and ETL processes to deliver clean, accessible datasets for enterprise clients in advertising and marketing technology.
Builds Azure-based data pipelines, lakehouse architectures, and Power BI reports using Data Factory, Databricks, and SQL.
Build and maintain scalable cloud data pipelines for a global travel platform, using AWS, Kafka, Spark, and Scala to process billions of daily events.
Build and maintain scalable data pipelines and lakehouses using Microsoft Fabric and Power BI, automating ingestion, transformation, and CI/CD workflows for analytics solutions.
Build and maintain scalable data pipelines and platforms using Spark, Scala, Kafka, and cloud tech to enable analytics and decision-making across BNP Paribas.
Build and maintain scalable data pipelines and cloud architectures to ingest, transform, and serve reliable data for analytics and reporting across hybrid environments.
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and optimize data workflows for enterprise clients.
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 maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and transform data for clients.
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting, processing, and modeling data with PySpark, ADF, and KQL for analytics and reporting.
Lead the design and development of scalable data pipelines and architectures for a healthcare company, ensuring data availability and quality for analytics.
Builds and maintains scalable data pipelines for BNP Paribas using Scala, Spark, Airflow, and cloud storage, ensuring data quality and security while collaborating with cross-functional teams.
Builds and maintains scalable data pipelines using Spark, Airflow, and Scala, ensuring secure, high-performance data infrastructure for business needs.
Data Engineer building and maintaining scalable pipelines for a banking client using Python, Scala, Spark, Airflow, and Kubernetes.
Build and optimize scalable, multi-cloud data pipelines using SQL, Python, and ETL/ELT tools while collaborating with clients and internal teams.
Builds and maintains AWS-based data pipelines and data mesh architectures using Spark/Scala, Python, and SQL to support scalable data solutions.
Build and maintain scalable data pipelines and configure Quantexa’s decision-making platform using Spark, Scala, and cloud services to help clients in banking, healthcare, and government detect fraud and manage risk.
Design and build scalable data pipelines and warehouses for a global client using Spark/Scala, Python, SQL, and AWS services like S3, Glue, and EMR.
Build and migrate data pipelines for a bank using Spark/Scala, Airflow, and cloud storage, automating CI/CD and ensuring data quality in a hybrid Madrid role.
Design and build scalable data pipelines and lakehouse architectures using Spark/Scala, Python, SQL, and AWS services like S3 and Glue for global clients.
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