Collaborate with data architects, modelers and IT team members to help define and evolve the overall cloud-based data architecture strategy, including data warehousing, data lakes, streaming analytics, and data governance frameworks
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Administrate, monitor and optimize our Big Data environments based on Apache Hadoop (AWS Cloud) - Manage and maintain services like Kafka, Flink, NiFi, DynamoDB and Iceberg Tables - IaaC deployment via Terraform - Plan and execute updates and upgrades
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Aufgaben - Administrate, monitor and optimize our Big Data environment based on Apache Hadoop from Cloudera (AWS-Cloud) - Manage and maintain services like Kafka, Flink, NiFi, DynamoDB and Iceberg Tables - IaaC deployment via Terraform
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Support our clients in areas such as data strategy, architecture, intelligence, big data, analytics, data warehousing, and business intelligence … Hands-on project experience in SAP BI – either frontend, backend, or both. Experience leading (or co-leading) projects as a (partial) project manager
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Administration, monitoring, and optimization of big data environments based on Apache Hadoop (AWS Cloud) - Management and maintenance of services such as Kafka, Flink, NiFi, DynamoDB, and Iceberg Tables - Deployment using Infrastructure as Code (IaC) with Terraform
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Experience in system administration of Linux systems (RedHat) - Expertise in building and operating Big Data environments based on Apache Hadoop clusters - Interest in continuously learning and improving one’s skillset - OUR FEATURES - State-of-the-Art Technologies
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Administration, monitoring, and optimization of the Big Data environment based on Apache Hadoop in the AWS Cloud - Management and maintenance of services like Kafka, Flink, NiFi, DynamoDB, and Iceberg Tables - Deployment using Infrastructure as Code (Terraform)
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für Wien, Linz, Wels, Salzburg, Graz, St. Pölten - Aufgaben: Administrate, monitor and optimize our Big Data environment based on Apache Hadoop from Cloudera (AWS-Cloud) - Manage and maintain services like Kafka, Flink, NiFi, DynamoDB and Iceberg Tables
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Identify and develop new business opportunities within the HPC, AI and Quantum computing market • Build and maintain strong relationships with key clients and partners • Create and present compelling technical solutions and proposals
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mechatronic systems, embedded systems, pervasive computing systems, and big data analytics … This approach facilitates data-driven decision-making by revealing patterns, trends, and correlations that are often hidden in large-scale data
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