Aws Engineer Tshwane (Pretoria)

Reference: JHB009156-ZN-1Our Client in the IT industry is looking for an AWS Data Engineer. If you meet the below requirements, kindly send us your CV.Duties & ResponsibilitiesESSENTIAL SKILLS REQUIREMENTS:Above average experience/understanding (in order of importance):TerraformPython 3.xSQL - Oracle/PostgreSQLPy SparkBoto3ETLDockerLinux / UnixBig DataPowershell / BashBMW Cloud Data Hub (CDH)BMW CDEC BlueprintExperience in working with Enterprise Collaboration tools such as Confluence, JIRA, etc.Experience developing technical documentation and artefacts.Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV, etc.Experience working with Data Quality Tools such as Great Expectations.Knowledge of the Agile Working Model.Any additional responsibilities assigned in the Agile Working Model (AWM) Charter.ADVANTAGEOUS SKILLS REQUIREMENTS:Demonstrate expertise in data modelling Oracle SQL.Exceptional analytical skills analysing large and complex data sets.Perform thorough testing and data validation to ensure the accuracy of data transformations.Strong written and verbal communication skills, with precise documentation.Self-driven team player with the ability to work independently and multi-task.Experience building data pipelines using AWS Glue or Data Pipeline, or similar platforms.Familiar with data stores such as AWS S3, and AWS RDS or DynamoDB.Experience and solid understanding of various software design patterns.Experience preparing specifications from which programs will be written, designed, coded, tested, and debugged.Strong organizational skills. Experience developing and working with REST APIs is a bonus.Basic experience in Networking and troubleshooting network issues.Basic experience/understanding of AWS Components (in order of importance):GlueCloudWatchSNSAthenaS3Kinesis Streams (Kinesis, Kinesis Firehose)LambdaDynamoDBStep FunctionParam StoreSecrets ManagerCode Build/PipelineCloudFormationBusiness Intelligence (BI) ExperienceTechnical data modelling and schema design ("not drag and drop")KafkaAWS EMRRedshiftPackage & RemunerationMarket Related - Monthly
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