AWS Data Engineer (Contract) - Gauteng/Hybrid - ISB2212050

Our client requires the services of a Data Engineer/Scientist (Expert) - 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 2026

EXPERIENCE: 8+ Years related working experience.

COMMENCEMENT: As soon as possible

QUALIFICATIONS/EXPERIENCE

• South African citizens/residents are preferred.
• Relevant IT / Business / Engineering Degree
• Certifications:
• Candidates with one or more of the certifications are preferred.
• 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:

• Above Average experience/understanding (in order of importance):
• Terraform
• Python 3x
• SQL - Oracle/PostgreSQL
• Py Spark
• Boto3
• ETL
• Docker
• Linux / Unix
• Big Data
• Powershell / Bash
• GROUP Cloud Data Hub (CDH)
• GROUP CDEC Blueprint
• Experience in working with Enterprise Collaboration tools such as Confluence, JIRA.
• Experience developing technical documentation and artefacts.
• Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV.
• 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 TECHNICAL SKILLS

• 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.
• 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. 
• Experience developing and working with REST API's is a bonus.
• Basic experience in Networking and troubleshooting network issues.
• Basic 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
• Secrets Manager
• Code Build/Pipeline
• CloudFormation
• Business Intelligence (BI) Experience
• 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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Also note, that if you have not received a response from us within 2 weeks, your application was unsuccessful.

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