Data Engineer Data EngineerData Processing FrameworksApache HadoopApache SparkApache FlinkApache KafkaApache NiFiDistributed SystemsCluster ComputingParallel ProcessingFault ToleranceScalabilityDistributed File Systems (e.g., HDFS)Data Storage and RetrievalRelational DatabasesMySQLPostgreSQLOracle DatabaseNoSQL DatabasesMongoDBCassandraRedisColumnar DatabasesAmazon RedshiftGoogle BigQueryApache DruidData WarehousesSnowflakeAmazon RedshiftGoogle BigQueryData Lake StorageAmazon S3Google Cloud StorageHadoop Distributed File System (HDFS)Data Modeling and ETL (Extract, Transform, Load)Data ModelingConceptual Data ModelLogical Data ModelPhysical Data ModelData IntegrationETL (Extract, Transform, Load) ProcessesData Pipeline DevelopmentData Quality ManagementBig Data TechnologiesApache HiveApache PigApache SqoopApache OozieApache FlumeData Streaming and Real-time ProcessingStream ProcessingApache KafkaApache FlinkApache StormChange Data Capture (CDC)Real-time Data PipelinesData Governance and SecurityData Privacy and ComplianceData Access ControlData EncryptionData MaskingData AnonymizationCloud Platforms and ServicesAmazon Web Services (AWS)Microsoft AzureGoogle Cloud Platform (GCP)SnowflakeDatabricksProgramming Languages and ScriptingPythonScalaSQL (Structured Query Language)Bash/Shell ScriptingJavaR ProgrammingWorkflow Automation and OrchestrationApache AirflowApache OozieKubernetesContainerizationWorkflow Management ToolsBusiness and Technical SkillsProblem Solving and TroubleshootingProject ManagementData Analysis and VisualizationCommunication and Collaboration Skills