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Senior Java Software Engineer
Senior Java engineer building and scaling a critical enterprise Master Data Platform for demographic data, integrating with GraphDB, Scala, Kafka, and Kubernetes for real-time processing and regulatory compliance.
Data Engineer, Global Risk & Anti-Fraud
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.…
Data Engineer（Senior Level）
Job description： Lead the design, development, and evolution of the company’s overseas data warehouse and data platform across mobile device, IoT, and app data domains Architect and implement scalable data processing…
Hiring: Senior Data Engineer
Build and maintain scalable data infrastructure and AI-powered analytics platforms for a media company, designing data lakes, pipelines, and customer data products to drive data-driven decisions.
Software Engineer
As a Software Engineer with Graviton your responsibilities will include: Contribute to all layers of backend systems including databases, APIs and applications Design, build and maintain applications for business…
Data Architect (REF5750O)
Designs and governs enterprise data models, pipelines, and integration patterns to power analytics and business capabilities using cloud platforms and modern data stack tools.
Senior Backend Engineer, Edge — On-site 4 Days/Week
Senior Backend Engineer builds scalable systems integrating hardware with ML to analyze real-world object behavior using AWS, Java, Scala, gRPC, Redis, MySQL, Kubernetes, and Kafka.
Staff Software Engineer -Backend
Build and scale Socure’s identity-trust backend in Go, designing secure, high-volume APIs and distributed systems to stop fraud in real time.
Tech Lead Data Engineer H/F
Leads a team of data engineers to design and build scalable data architectures for large clients, focusing on AI and sustainability use cases using cloud platforms like Azure Databricks, AWS, or GCP.
Data Engineer - QuantumBlack, AI by McKinsey
Build and maintain scalable data pipelines for machine learning using Python, PySpark, SQL, and cloud platforms, collaborating with cross-functional teams to deliver AI solutions.
Senior Data Engineer Databricks H/F
Build and maintain robust data pipelines on Databricks using PySpark and Spark SQL for large enterprise clients across industries like banking and logistics.
Senior Data Engineer
Build and maintain scalable AWS-based data pipelines and analytics platforms using Python, PySpark, and medallion architecture to power Taylor & Francis’s media and publishing products.
Senior Specialist: Cloud Data Engineer
Designs and maintains scalable data pipelines, edge apps, and cloud infrastructure using Spark, Kafka, and cloud services to enable real-time analytics and ML at Vodafone.
Practice Customer Engineer, Data Analytics, Google Cloud
You partner with Google Cloud sales teams to design data architectures, prototype analytics solutions, and solve complex customer challenges using Google Cloud’s AI and data tools.
Senior Solution Architect
Design and implement enterprise-scale Databricks Lakehouse architectures, lead client engagements, and optimize Spark-based pipelines for secure, high-performance AI and data workloads.
Senior Data Engineer
Build and maintain scalable data pipelines on Databricks and Azure, using PySpark/Scala and SQL to process manufacturing or energy data for analytics and reporting.
Senior Data Scientist
Senior Data Scientist builds and deploys advanced analytics and ML models for a Toronto crown corporation’s capital markets unit, translating business challenges into scalable data solutions and driving data-driven decisions.
Senior Full-Stack Software Engineer - Global AI Platform
Builds and maintains a cloud-native AI platform using Akka, Scala/Java, and MLOps to power enterprise-grade AI and agent solutions with continuous learning, governance, and high performance.
Senior full-stack software engineer - global ai platform
Build and maintain a global AI platform using Scala/Java (Akka), Python, Kubernetes, and cloud-native tools to power scalable, secure agent systems and ML workflows for a financial-services company.
Ingénieur en machine learning/Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI
Build and deploy end-to-end AI/ML and GenAI solutions on AWS for enterprise clients, designing scalable pipelines and advising on cloud architectures.