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Build and maintain Java-based backend services for Revolut’s fintech platform, focusing on APIs, microservices, and systems like fraud detection and payments.
Design and scale backend services and data pipelines that integrate hardware, ML, and mobile platforms using Java/Scala/Kotlin, Python, or NodeJS/TypeScript.
Designs and builds scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights while ensuring security, compliance, and efficiency.
Designs and builds cloud-native data pipelines on Azure, integrating big data tools like Spark and Databricks to feed analytics and ML models for enterprise clients.
Build and maintain ETL/ELT pipelines and translate business needs into scalable data solutions while collaborating with data scientists and cross-functional teams.
Build and maintain robust big-data pipelines using Spark (Scala), Airflow for orchestration, and CI/CD tooling; ingest and process large datasets for a major banking client.
Builds and maintains scalable big-data pipelines for financial clients using Spark, Scala, and Python on Cloudera/Databricks.
Senior Azure Data Engineer designs scalable data pipelines in Azure and Fabric, leading ingestion to BI insights for an aeronautics-focused team.
Build and optimize data pipelines using Scala, Spark, and Python to process large datasets efficiently for a remote-first team.
Design and implement cloud architectures and ETL pipelines to process customer data, making it available to client teams via streams and tables.
Design and maintain scalable data pipelines on Databricks using Spark, Delta Lake, and Unity Catalog, collaborating with data scientists and architects to deliver production-grade solutions.
Builds and maintains big-data pipelines for a Madrid-based bank using Python, Scala, Spark, Airflow, and Kubernetes.
Builds and maintains scalable data pipelines using Spark, Databricks, Azure, Python, Scala, and SQL to support analytics and modeling in a life-science project.
Builds and maintains a cloud data lake and real-time streaming pipelines using Kafka, Spark, Scala, and Airflow to process billions of daily messages for analytics.
Senior Data Engineer designing and building scalable Big Data solutions on AWS using Spark with Scala, optimizing large-scale data processing for an international project.
Senior Data Engineer builds and optimizes cloud-based data pipelines and models for CRM and retargeting, using Spark, Python, and GCP/AWS/Azure to ensure clean, high-quality data for analytics.
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 using Airflow, Spark, and Scala, ensuring secure, high-performance data infrastructure for business needs.
Builds and maintains scalable data pipelines using Scala, Spark, Airflow, and cloud storage for BNP Paribas clients, ensuring performance, security, and data integrity.
Build and maintain big-data pipelines for a banking client using Python, Scala, Spark, Airflow, and Kubernetes.
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