Job Description

AWS Data Engineer (Contract) - Gauteng/Hybrid - ISB2312517About the job AWS Data Engineer (Contract) - Gauteng/Hybrid - ISB2312517Our client requires the services of a Data Engineer/Scientist (Senior) Midrand/Menlyn/Rosslyn/Home Office Rotation

• Amazing brand with cutting-edge technology
• Excellent teams in Global team collaboration
• High work-life balance with Flexible hours
• Agile working environment

POSITION: Contract until December 2026EXPERIENCE: 6-8 Years related working experience.COMMENCEMENT: As soon as possibleQUALIFICATIONS/EXPERIENCE

• AWS Certified Cloud Practitioner,
• AWS Certified SysOps Associate,
• AWS Certified Developer Associate,
• AWS Certified Architect Associate,
• AWS Certified Architect Professional,
• Hashicorp Certified Terraform Associate

ESSENTIAL SKILLS:

• Terraform
• Python 3x
• SQL - Oracle/PostgreSQL
• Py Spark
• Boto3
• ETL
• Docker
• Linux / Unix
• Big Data
• Powershell / Bash
• Experience 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.
• Experience developing and working with REST API's is a bonus.
• Basic experience in Networking and troubleshooting network issues.
• Any additional responsibilities assigned In the Agile Working Model (AWM) Charter

ADVANTAGEOUS TECHNICAL SKILLS

• 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.
• Familiar with data store 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.
• Advanced experience/understanding of AWS Components (in order of importance):
• Glue
• CloudWatch
• SNS
• Athena
• S3
• Kinesis Streams (Kinesis, Kinesis Firehose)
• Lambda
• DynamoDB
• Step Function
• Param Store
• Code Build/Pipeline
• CloudFormation
• Technical data modelling and schema design (not drag and drop)
• Kafka
• AWS EMR
• Redshift

ROLE:

• Data Engineers are responsible for building and maintaining Big Data Pipelines using GROUP Data Platforms.
• Data Engineers are custodians of data and must ensure that data is shared in line with the information classification requirements on a need-to-know basis.

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