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What You Will Do Act as a Cloudera Data Architect with high skill in performance tuning procedures, both software- and platform-based. Design, plan, and manage Spark applications based on Cloudera cluster technologies and workflows integrated with Kafka Streams, ensuring correct implementation and code quality. Design and manage Kudu and HDFS data tables. Support the analysis of functional requirements to turn them into detailed technical specifications. Technologies you will work with: Kudu, HDFS, Hive, Impala, Spark, Java, OpenJDK, Spring Boot, OpenShift, Kafka, GitLab, GitLab CI, ArgoCD, Linux servers, SQL Server, and much more. What You Bring Experience in the Cloudera ecosystem: Cloudera Manager, Ranger, Knox, Atlas, Hive… Experience with Spark streaming applications using Kafka Streams, Kudu and HDFS data design, and Impala queries. Experience with XML, JSON, Avro, and Git. Nice to have experience: Iceberg use cases, GitLab CI, OpenShift, ArgoCD, Agile framework, Linux. High team-working ability and accurate working methods. Good verbal and written English and Spanish. If you have any questions, check out our or call Yuliya Stoyko at . For this vacancy we only accept direct applications. Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background. What We Offer Flexible Work Models We trust our employees and offer a work environment that is well-balanced, productive and fosters success. Personal Development You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering. Agile Working Methods Whether through scrum or design thinking, we solve exciting tasks together in teams.
