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Expert Data Engineer

Job in Pretoria, 0002, South Africa
Listing for: ATS Client
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Engineering, AWS, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below

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
  • 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 Cloud & Infrastructure
  • Terraform
  • Docker
  • Linux / Unix
  • Cloud Formation
  • Code Build / Code Pipeline
  • Cloud Watch
  • SNS
  • S3
  • Kinesis Streams (Kinesis, Firehose)
  • Lambda
  • DynamoDB
  • Step Functions
  • Parameter Store
  • Secrets Manager
Programming & Data Engineering
  • Python 3.x
  • SQL (Oracle / PostgreSQL)
  • Py Spark
  • Boto3
  • ETL development
  • Big Data platforms
  • Power Shell / Bash
Data Platforms & Tools
  • Glue
  • Athena
  • Technical data modelling & schema design (hands-on, not drag-and-drop)
  • Kafka
  • AWS EMR
  • Redshift
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
  • AWS Cloud Practitioner
  • AWS Sys Ops Associate
  • AWS Developer Associate
  • AWS Architect Associate
  • AWS Architect Professional
  • Hashi Corp Terraform Associate
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