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Há 5 dias

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Before you apply, please get familiar with LuxoftLuxoft locations: Magazine: Alumni Club: and implement scalable data pipelines using Databricks and KafkaBuild and maintain real-time streaming solutions for high-volume dataCollaborate with cross-functional teams to integrate data flows into broader systemsOptimize performance and reliability of data processing workflowsEnsure data quality, lineage, and compliance across streaming and batch pipelinesParticipate in agile development processes and contribute to technical documentationMandatory Skills Description:+5 years of experience in data engineering rolesProven expertise with Databricks (Spark, Delta Lake, notebooks, performance tuning)Strong hands-on experience with Apache Kafka (topics, producers/consumers, schema registry)Solid understanding of streaming frameworks (e.g., Spark Structured Streaming, Flink, or similar)Experience with cloud platforms (AWS, Azure, or GCP)Proficiency in Python or Scala for data pipeline developmentFamiliarity with CI/CD pipelines (GitLab, Jenkins) and agile tools (Jira)Exposure to data lakehouse architectures and best practicesKnowledge of data governance, security, and observabilityProject Description:We are seeking a skilled and hands-on Data Engineer with proven experience in Databricks, Apache Kafka, and real-time data streaming solutions.

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