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Pretoria: Expert Data Engineer posted by Sabenza IT & Recruitment

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Job Description

About the Role:

The Data Engineer will work on enterprise-wide data provisioning, spanning multiple data governance domains and data assets. Responsibilities include ensuring secure data sharing, adhering to protection and compliance requirements, supporting enterprise Data & Analytics initiatives (including high-priority use cases), and enabling data provisioning for operational processes.


Role Responsibilities:

Data Engineers in this environment are custodians of critical data assets and pipelines. Responsibilities include:

       Building and maintaining large-scale Big Data pipelines on cloud-based data platforms

       Ensuring secure and compliant data sharing aligned with information classification standards

       Supporting enterprise Data & Analytics initiatives and high-priority use cases

       Continuously improving and automating data engineering processes

       Evaluating emerging tools and technologies to drive innovation

       Mentoring and upskilling team members

       Maintaining high-quality technical documentation


Requirements

Essential Skills:

Candidates must demonstrate strong, above-average expertise in:

Cloud & Infrastructure

  • Terraform
  • Docker
  • Linux / Unix
  • CloudFormation
  • CodeBuild / CodePipeline
  • CloudWatch
  • SNS
  • S3
  • Kinesis Streams (Kinesis, Firehose)
  • Lambda
  • DynamoDB
  • Step Functions
  • Parameter Store
  • Secrets Manager

 

Programming & Data Engineering

  • Python 3.x
  • SQL (Oracle / PostgreSQL)
  • PySpark
  • Boto3
  • ETL development
  • Big Data platforms
  • PowerShell / Bash

 

Data Platforms & Tools

  • Glue
  • Athena
  • Technical data modelling & schema design (hands-on, not drag-and-drop)
  • Kafka
  • AWS EMR
  • Redshift
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Business & Analytics

  • Business Intelligence (BI) experience
  • Strong data governance and security understanding

 

Advantageous Skills:

  • Advanced data modelling expertise, especially in Oracle SQL
  • Strong analytical skills for large, complex datasets
  • Experience with testing, data validation, and transformation accuracy
  • Excellent documentation, written, and verbal communication skills
  • Ability to work independently, multitask, and collaborate within teams
  • Experience building data pipelines using AWS Glue, Data Pipeline, or similar
  • Familiarity with AWS S3, RDS, and DynamoDB
  • Solid understanding of software design patterns
  • Experience preparing technical specifications, designing, coding, testing, and debugging solutions
  • Strong organisational abilities
  • Knowledge of Parquet, AVRO, JSON, XML, CSV
  • Experience with Data Quality tools such as Great Expectations
  • Experience working with REST APIs
  • Basic networking knowledge and troubleshooting skills
  • Understanding of Agile methodologies
  • Experience with documentation tools such as Confluence and JIRA


Qualifications & Experience

  • Relevant IT, Business, or Engineering Degree
  • Experience developing technical documentation and artefacts
  • Experience with enterprise collaboration tools

 

Preferred Certifications

Candidates with one or more of the following will be prioritised:

       AWS Cloud Practitioner

       AWS SysOps Associate

       AWS Developer Associate

       AWS Architect Associate

       AWS Architect Professional

       HashiCorp Terraform Associate



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