Data streaming engineer - mid level developer

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Data streaming engineer - mid level developer IDADALTAS4063 LocationParis region TypeFull-time PublishedOct 17, 2022 Categories Cloud ComputingData EngineeringTags DevOpsPipelineFlinkKafkaNiFiSpark[more][less]Job description As a data streaming engineer, you interact with the business and IT people (architects, functional analysts, project managers, data scientists, developers) to build ingestion pipelines in real-time. Bringing data from point A to point B is just the begining of the journey. In this architecture, data preparation include data qualification, enrichment and real-time analytics. You will work in an hybrid environment, on-prem and in the cloud, with high availability and security requirements. Company presentation Adaltas specializes in the processing and storage of data. We operate on-premise and in the cloud to strengthen our clients’ teams in the areas of architecture, operations, data engineering, data science and DevOps. Cloudera and Databricks partner, we are also open source contributors. We invite you to browse our site and our many technical publications. Expected Skills You must have experience in streaming architectures. Core technologies include Kafka, NiFi, Spark, and Flink. A good knowledge in Python is expected. Experience in Java and Scala is a plus. We have several open positions for profiles of all levels. Certifications in Cloudera, Databricks, Microsoft Azure, Amazon Aws and Google GCP are not mandatory but an advantage for less experienced

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