Where

Data Engineer/Scientist - 3407

Jordan Human Resources
Pretoria Full-day Full-time

Description:

ð AWS Data Engineer | Cloud & AnalyticsWe’re looking for an AWS Data Engineer to build scalable data pipelines, cloud solutions, and dashboards that drive real business decisions.

ð§ What you’ll do

  • Build and optimise AWS data pipelines (ETL, Spark, APIs, databases, streams)
  • Develop QuickSight dashboards that turn complex data into clear insights
  • Design and scale cloud solutions using AWS (S3, Glue, Athena, Lambda, RDS, etc.)
  • Work closely with stakeholders to translate business needs into technical solutions
  • Support Agile delivery and mentor junior team members

ð§ What we’re looking for

  • Strong AWS data engineering experience
  • Python and ETL / Spark exposure
  • QuickSight or strong data visualisation skills
  • Git & CI/CD (GitHub Actions)
  • Confident communicator who understands business context

ð Nice to have

  • Front-end basics (React / Angular)
  • Interest in AI / LLMs
  • AWS certifications
ð Global, Agile environment | High-impact data work
ð Interested? Let’s talk.

Requirements:

ð§ What you’ll do

  • Build and optimise AWS data pipelines (ETL, Spark, APIs, databases, streams)
  • Develop QuickSight dashboards that turn complex data into clear insights
  • Design and scale cloud solutions using AWS (S3, Glue, Athena, Lambda, RDS, etc.)
  • Work closely with stakeholders to translate business needs into technical solutions
  • Support Agile delivery and mentor junior team members

ð§ What we’re looking for

  • Strong AWS data engineering experience
  • Python and ETL / Spark exposure
  • QuickSight or strong data visualisation skills
  • Git & CI/CD (GitHub Actions)
  • Confident communicator who understands business context

ð Nice to have

  • Front-end basics (React / Angular)
  • Interest in AI / LLMs
  • AWS certifications
ð Global, Agile environment | High-impact data work
ð Interested? Let’s talk.

ð§ What you’ll do

  • Build and optimise AWS data pipelines (ETL, Spark, APIs, databases, streams)
  • Develop QuickSight dashboards that turn complex data into clear insights
  • Design and scale cloud solutions using AWS (S3, Glue, Athena, Lambda, RDS, etc.)
  • Work closely with stakeholders to translate business needs into technical solutions
  • Support Agile delivery and mentor junior team members

ð§ What we’re looking for

  • Strong AWS data engineering experience
  • Python and ETL / Spark exposure
  • QuickSight or strong data visualisation skills
  • Git & CI/CD (GitHub Actions)
  • Confident communicator who understands business context

ð Nice to have

  • Front-end basics (React / Angular)
  • Interest in AI / LLMs
  • AWS certifications
ð Global, Agile environment | High-impact data work
ð Interested? Let’s talk.
  • Build and optimise AWS data pipelines (ETL, Spark, APIs, databases, streams)
  • Develop QuickSight dashboards that turn complex data into clear insights
  • Design and scale cloud solutions using AWS (S3, Glue, Athena, Lambda, RDS, etc.)
  • Work closely with stakeholders to translate business needs into technical solutions
  • Support Agile delivery and mentor junior team members
  • Strong AWS data engineering experience
  • Python and ETL / Spark exposure
  • QuickSight or strong data visualisation skills
  • Git & CI/CD (GitHub Actions)
  • Confident communicator who understands business context
  • Front-end basics (React / Angular)
  • Interest in AI / LLMs
  • AWS certifications
19 Jan 2026;   from: careers24.com

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