Looking for an opportunity with one of the leading companies in the manufacturing industry in search for an AWS Data Engineer that plays a crucial role in building and maintaining the data infrastructure on AWS, ensuring that organizations can effectively and securely manage and analyze their data. Continuous learning and adaptation to evolving technologies are essential in this dynamic field.

Requirements:

· Terraform; Python 3x; Py Spark

· Boto3; ETL

· Docker; Linux / Unix; Big Data; Powershell / Bash

· Basic experience/understanding of AWS Components (in order of importance):

· Trino Distributed SQL queries.

· Glue (ETL Scripting)

· CloudWatch; SNS

· Athena; S3

· Kinesis Streams (Kinesis, Kinesis Firehose)

· Lambda; DynamoDB

· Step Function; Param Store

Responsibilities:

· 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 ability to work independently and multi-task

· Experience building data pipeline using AWS Glue or Data Pipeline, or similar platforms

· Experience preparing specifications from which programs will be written, designed, coded, tested and debugged

· Strong organizational skills. Experience in working with Enterprise Collaboration tools such as Confluence, JIRA etc

· Experience developing technical documentation and artefacts

· Experience working with Data Quality Tools such as Great Expectations

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AWS Data Engineer - Midrand–Semi Remote – R800 PH - Pretoria

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