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AWS Data Engineer

18 hours ago473 views
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General Details
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description

Job Specifics:

Location: Pretoria, Gauteng (Hybrid / Remote)
Industry: Digital Health / Medical Technology
Level: Senior / Experienced

About the Company

A global digital health technology company building data-driven platforms and cloud solutions that improve access to hearing healthcare through connected devices, analytics, and scalable infrastructure.

The Role

As an AWS Data Engineer, you’ll be responsible for designing, building, and operating cloud-based data infrastructure across the full data lifecycle. This role blends data engineering, cloud architecture, and DevOps, with a strong focus on scalable, secure, and automated AWS solutions in a regulated environment.

You’ll work closely with software engineers, data teams, and stakeholders to enable reliable data ingestion, processing, analytics, and operational systems.

What You’ll Be Doing

Cloud Architecture & Data Infrastructure

  • Design and implement scalable, secure, and resilient AWS cloud architectures
  • Architect solutions for high availability, fault tolerance, disaster recovery, and business continuity
  • Evaluate and recommend AWS services aligned with business and data requirements
  • Ensure infrastructure aligns with security, governance, and compliance standards
  • Define and maintain cloud architecture standards, patterns, and best practices

Data & Cloud Development

  • Build and manage end-to-end data pipelines across ingestion, transformation, and storage
  • Work with AWS Glue (crawlers, jobs, triggers, catalog), S3, Athena, Lambda, Step Functions, and CloudWatch
  • Develop serverless and event-driven architectures using Lambda, EventBridge, SNS, SQS, and Kinesis
  • Design, build, and maintain containerised workloads using ECS, EKS, or Fargate
  • Develop internal tools to improve operational efficiency and developer productivity
  • Collaborate with engineering teams to optimise performance in cloud-based systems
  • Build proof-of-concepts to evaluate new AWS services and architectural patterns

Infrastructure as Code & Automation

  • Design and maintain Infrastructure as Code using Terraf
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Executive Placements
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