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Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or…
Please note: This job is advertised for Luxembourg but can be located in any of our EU sites or offices. We are seeking a Senior Analyst to own the analytical backbone across multiple high-impact domains within EU…
Data Scientist at Zempler Bank builds models to improve credit access, customer experience, and fraud protection using bank data.
Build and scale data pipelines, ML infrastructure, and distributed services to power ZipRecruiter’s job-matching platform using Python, Spark, Kafka, and Kubernetes.
Build and maintain Lunar’s real-time data platform using Flink, Iceberg, and Kubernetes, enabling self-service analytics for the bank’s teams.
Principal Data Engineer at Booking.com designing and building scalable data pipelines and models for AI-driven travel products, ensuring cross-team data discoverability and quality across Amsterdam’s Marketplace Data & AI org.
Design and build scalable big data systems and ETL pipelines using Hadoop, Spark, Kafka, and SQL to power analytics and reporting for a B2B revenue intelligence platform.
Senior backend engineer building and scaling high-throughput ad-tech systems in Python/Django, optimizing Big Data pipelines (Flink/Hive/Trino), and integrating AI features.
Build cloud-native backend systems and data pipelines for real-time water management analytics, including time-series ingestion, AI-powered alerting, and ML model integration on AWS.
工作职责 1. 负责账号安全、反作弊、营销风控、内容安全等核心风控业务的数据基建,构建风控指标体系,负责离线/实时风控特征库(Feature Store)的设计与开发。 2. 负责高并发、低延迟的实时风控数据链路建设,为风控引擎和算法模型提供高质量数据支持,包括黑样本库建设、设备指纹数据加工、用户行为序列特征提取等。 3.…
Develop and deliver scalable ETL/ELT solutions across Teradata and Hadoop platforms by building robust data pipelines, ingestion frameworks, and automation capabilities. Ensure efficient data processing, performance…
Build and maintain scalable data pipelines on Databricks and cloud platforms, integrating diverse sources and ensuring high-quality data for analytics and ML workloads.
Build and scale Java/Kotlin backend services for restaurant POS systems, handling orders, payments, and offline-first device sync across Android tablets in live kitchens.
Build and prototype AI-driven algorithms for fraud detection and AML compliance using large financial datasets, Scala/Python, Spark, and Kafka.
Build and maintain Tookitaki's cloud-native platform on AWS EKS using GitOps (Argo), Terraform, and Kubernetes operators, enabling self-service infrastructure for application teams.
Build and maintain microservices, Kafka-based event streaming, and AI integrations for McKesson’s healthcare supply-chain platform using Java/Python and cloud-native tools.
Maintain and expand observability infrastructure using Grafana, Prometheus, and CI/CD pipelines; design secure, automated monitoring and failover systems for new projects.
Build and maintain reliable data pipelines for energy and weather datasets, transforming raw telemetry into ML-ready inputs using Python, GCP, and DBT.
Build and scale a petabyte-level data platform that powers fraud detection, analytics, and AI model training across Apple’s platforms using Spark, Trino, Flink, Python, and SQL.
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