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Build and scale distributed messaging, streaming, and caching systems (Kafka, Redis, RabbitMQ) that power Workday’s HR and financial products, ensuring resilience and real-time performance across private and public clouds.
Build and scale high-throughput data pipelines and feature stores for fraud detection and risk decisioning using Kafka, Spark, and AWS, enabling ML models and real-time rules to combat global financial fraud.
Build and deploy ML models for Slack’s conversational AI, ranking, and generative features, using Python, PyTorch, and Spark to drive product impact at scale.
Design and implement high-performance CPU frontend features for RISC-V cores using Chisel/Verilog, focusing on instruction fetch, decode, and branch prediction while collaborating with verification and physical design teams.
Designs and maintains enterprise-scale data pipelines and cloud platforms to power analytics and reporting across a healthcare insurer.
Lead backend engineering teams to build cloud-based financial systems using Java, Scala, and AWS, ensuring regulatory compliance and empowering millions of customers.
Lead backend engineering teams building cloud-based financial systems using Java, Go, and AWS to meet regulatory and customer needs.
Design and build scalable cloud data pipelines on AWS and Databricks, modernizing data platforms and enabling AI/ML workflows for a large financial services firm.
Maintains and sustains NOAA’s environmental data infrastructure, focusing on enterprise archive systems with Linux, Python/JavaScript, REST APIs, Kafka/NiFi pipelines, and Agile workflows.
Principal engineer defining long-term tech strategy and leading large-scale, distributed systems in Java/Scala/Python to quantify and manage global insurance risk.
Build and maintain scalable back-end services for Caju’s fintech products using Kotlin/Java, GraphQL/REST APIs, and Kafka, focusing on clean architecture and observability.
Develops and maintains AWS-based data pipelines using Java, Python, or Scala to optimize data flow and processing for a software company.
Adecco in Torino ricerca un profilo junior data engineer appartenente alle categorie protette ai sensi della L.68/99, inserito nel team dedicato ai servizi e consulenza IT. La posizione, in modalità ibrida, prevede…
Build and lead production ML systems for recommendation, ranking, and optimization that serve millions of customers with low latency, while setting technical direction and mentoring engineers.
Build and maintain scalable data pipelines and infrastructure using Scala to support analytics and decision-making.
Build and maintain a skills taxonomy and data migration plan for a federal client, using ML/AI to analyze HR data and integrate systems.
Build and maintain full-stack infrastructure libraries and services to accelerate product teams, using React, Node.js, Scala, AWS, and Kubernetes.
Builds and optimizes Hadoop-based data marts and ETL pipelines with Spark, Hive, and HDFS to power risk analytics for a major bank.
Senior Data Engineer builds and maintains a large-scale event streaming platform using Kafka, Flink, and kSQL to process petabyte-level data for fintech analytics and products in London.
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