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Join the Mission at Cyber B.A.T. At Cyber B.A.T., we believe in one simple idea: Take care of those that take care of you. We’re a Service-Disabled Veteran-Owned Small Business delivering engineering, cybersecurity,…
Builds and maintains cloud-based data pipelines, streaming solutions, and lakehouse architectures to support Continental’s digital services, collaborating with backend and UI teams to ensure scalable, high-quality data infrastructure.
Do you have an eye for detail and a passion for building AI automation that drives innovative solutions? Join our team! As an AI Threat Analyst III, you will support the Insider Risk Program and champion the Security…
Research Engineer/Data Scientist applying big data, machine learning, and graph analysis techniques to network security telemetry and threat detection.
The Cyber Analytics Engineer will design and develop analytical solutions to identify and correlate cyber threats to Singapore's national security. The role involves data mining, threat intelligence development, and communicating findings using technologies like Python, R, Scala, and various big data tools.
Data Platform Engineer managing Big Data platforms and Enterprise Databases to support data analytics using SQL and Big Data technologies, collaborating with data scientists, analysts, and developers within Singapore's Internal Security Department.
Contexte de la mission Dans le cadre du renforcement d'une équipe Data au sein d'un grand groupe, nous recherchons un Data Engineer expérimenté pour intervenir sur des projets stratégiques de collecte,…
Build and scale data infrastructure and ETL pipelines in Python/PySpark to power analytics and data products for a global storytelling platform.
Designs and implements AWS-based data pipelines, warehouses, and lakes for analytics/AI use cases, collaborating with architects, engineers, and clients to define data structures, pipelines, and security. Focuses on ETL, cloud-native solutions, and mentoring junior teams.
Senior Data Engineer designing and building scalable data pipelines, driving cloud migration to Azure, and transforming large-scale datasets. Core tech: Azure Fabric, Azure Databricks, PySpark, Python, SQL, DBT, Snowflake, Docker, Kubernetes.
Staff Data Scientist builds AI/ML and operations-research models to automate supply-chain decisions for Coupang’s Taiwan e-commerce logistics, collaborating with product, engineering, and business teams.
Staff Data Scientist to build AI/ML and operations-research models for Coupang’s supply-chain automation, forecasting demand and optimizing fulfillment in Taiwan’s ecommerce operations.
Наша команда разрабатывает компоненты Маркетинговой платформы для поиска и формирования аудитории. Наш стэк: backend - java spring, postgres, kafka; front end – react; для работы с большими данными используем Hadoop…
Operate and evolve SP Group’s enterprise Data & AI platform, ensuring scalability, reliability, and security for analytics and AI workloads using Cloudera, Hadoop, Spark, and related tools.
Builds and maintains TikTok’s offline/real-time data warehouses (PB-scale) to process billions of user records, designing scalable data pipelines, analytics systems, and tools for business insights.
Summary of Position He/She will be a technical L2 resource for all Big Data services and will provide support for all production support activities within the Big Data team. Job Description As a L2 resource of his /her…
Builds and maintains enterprise Java/J2EE applications, focusing on microservices, distributed systems, and cloud-native deployment using Spring, Kafka, and Kubernetes.
Manage and operate enterprise big data platforms (Cloudera, Talend, Hadoop ecosystem) ensuring high availability, performance, and security, while driving automation via Terraform, Ansible, and CI/CD pipelines.
Data Engineer building and maintaining enterprise data pipelines, ETL/ELT processes, and Data-as-a-Product assets using SQL, Spark, Scala/Java, and cloud-based big data platforms (Hadoop, Kafka, etc.) for a large manufacturing company.
Data Engineer building and maintaining data pipelines, ETL/ELT processes, and enterprise data products on cloud-based big data platforms using SQL, Spark, and distributed storage technologies.
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