20.10.2024 aktualisiert
GL
100 % verfügbar
Cloud Data architect (batch and streaming)
Grembergen, Belgien
Belgien
Skills
JavaJavascriptApache ActivemqAmazon Web ServicesData AnalysisApache AntApache TomcatXcodeIBM System IArchitekturMicrosoft AzureOracle Weblogic ServerBig DataKundenbeziehungsmanagementCSSClickstreamCloud ComputingCmakeComputerprogrammierungData ArchitectureETLSoftware Design PatternsDroolsEclipseEnterprise JavabeansElasticsearchJ2EER (Programmiersprache)Google AnalyticsGoogle Web ToolkitGrafische BenutzeroberflächeApache HadoopMapReduceApache HbaseHibernateApache HiveSkalierbarkeitIbm Websphere MqIbm RpgIBM Websphere Application ServerIntellij IDEAJava MEJava SEJava Message ServiceJava Persistence APIServletSpring FrameworkApache StrutsSwing (Java)JaxbWildflyJava Native InterfaceJavaserver FacesJavaserver PagesJunitPythonKinesiologieLog4JApache MavenMicrosoft Visual StudioMicrosoft Sql-ServerMongodbMysqlMule EsbNetbeansOpen SourceOracle DatabasesOracle FinancialsVisualisierungRed Hat Enterprise LinuxClouderaMessage OrientedSAP ApplicationsScalaServiceorientierte ArchitekturSoftwareentwicklungSoftware FactoryApache SolrStreamingTableauWeb ApplikationenWeb ServicesExtensible Markup LanguageZookeeperGoogle CloudTest-Driven DevelopmentData ScienceW-sadApache SparkDeep LearningCachingWeb ContentDatenstrategieBuild-ManagementKubernetesApache FlinkAvroApache KafkaApache NifiCruisecontrolApache MahoutApi-GatewayRestful ApisRefactoringNetwork ServerEnterprise Service BusDocker
Big Data, Cloud, Programming, MySQL, AWS, Java, Spark, SQL Server, Google, Scala G, Hadoop, Azure, Python, HBase, MongoDB, ElasticSearch, Data Science, R G Tableau G Nifi G Docker G, Python G GDS G Kubeflow G Kubernetes G, Deep Learning, Docker, Kubernetes, Apache Spark, Apache Flink, Azure cloud lambda architecture, Kafka Streams, Maven, Data strategy, GCP, ETL, Google Data Studio, Scala, Clickstream, Lambda, API Gateway, Kinesis, Cloudera, Pig, Hive, analytics, scalability, MapReduce, REST Api, CRM, Solr, Data analytics, Avro, visualization, google analytics, J2EE, Mahout, Zookeeper, data analysis, Swing, Spring, JPA, webservices, software development methodology, CMake, Visual Studio 2005, Xcode, build management, AS400, IBM, Java SE, JNI, XML, gui, SOA architecture, GWT, TDD, Refactoring, design patterns, Mule ESB, Jboss Drools, Jboss, RIA/SOA, JPA/Hibernate, drools, EJB 3.0, JSF, Java Software Factory, java/iseries400, java/Sap, Web Services, Eclipse, Struts, Tiles, Oracle, Netbeans, Hibernate, Ant, Tomcat, JAXB, J2EE source code, MySql/Oracle (DB), open source, Open source rules engine, Open source ESB, ActiveMQ, OpenJMS, JMS Open source, JMS, CIN, web application, ejbs, CSS, JavaScript, JSP, Servlet, SAP, Web Content, user interface, message bus, IntelliJ, JMS Opens source, ESB, Mule, J2ME, JCS, session EJBs, Bea Weblogic, Oracle 9i, Bea Weblogic Cluster, Red Hat Linux servers, CruiseControl, log4j, caching, Spring AOP, jUnit, IBM WSAD Technologies, MyEclipse, JEE, servlets, session & Entity beans, IBM Websphere, IBM Websphere MQ, JavaMail, RPG, Java integration, RPG IV
Sprachen
GermanGrundkenntnisseEnglishverhandlungssicherFrenchverhandlungssicherDutchMutterspracheSpanishGrundkenntnisse
Projekthistorie
* AWS
* AWS MSK
Technologies * Docker
* Kubernetes
* Confluent
* Aiven
Defining and implementing to be hybrid kafka stack (cloud and on premises) in their
Job description modernisation track.
* AWS MSK
Technologies * Docker
* Kubernetes
* Confluent
* Aiven
Defining and implementing to be hybrid kafka stack (cloud and on premises) in their
Job description modernisation track.
* Azure
* Azure Event Hub
Technologies * Azure Databricks
* Apache Spark
* Apache Flink
Defining to be Azure cloud lambda architecture and migration plan from on prem current
Job description setup.
* Azure Event Hub
Technologies * Azure Databricks
* Apache Spark
* Apache Flink
Defining to be Azure cloud lambda architecture and migration plan from on prem current
Job description setup.
* Kafka
* Kafka Streams
* ksqlDB
* AWS
* BigQuery
Technologies * Rockset
* Aiven
* Docker
* Java
* Maven
* Python
Make the transformation of all batch pipelines into streaming pipelines to create a realtime
360° view of the supporter using data from all club brugge supplier platforms: ticketing,
single sign on, merchandise, access control, fan apps, ... to make data actionable in
Job description realtime (notifications, alerts, ...)
Research of state store behaviour versus streamtasks versus partitioning
* Kafka Streams
* ksqlDB
* AWS
* BigQuery
Technologies * Rockset
* Aiven
* Docker
* Java
* Maven
* Python
Make the transformation of all batch pipelines into streaming pipelines to create a realtime
360° view of the supporter using data from all club brugge supplier platforms: ticketing,
single sign on, merchandise, access control, fan apps, ... to make data actionable in
Job description realtime (notifications, alerts, ...)
Research of state store behaviour versus streamtasks versus partitioning