Where

Data Engineer

Network Recruitment
East London Full-day Full-time

Description:

Exciting Data Engineer Opportunity – Hybrid Role in South Africa! A leading technology-driven company is seeking a skilled Data Engineer to design, build, and optimize data pipelines for real-time and batch processing. If you're passionate about big data, cloud technologies, and scalable solutions, this is your chance to make an impact!

Qualifications:

  • Bachelor’s Degree in Computer Science, Computer Engineering, or related field.
  • AWS Certification (preferred).

Requirements:

  • 5+ years of experience in Data Engineering or Software Engineering.
  • 2+ years of Big Data experience.
  • 2+ years of AWS experience.
  • Strong knowledge of data modeling and distributed system architecture.
  • Proficiency in Python, Spark/PySpark, Talend, and AWS tools (EMR, EC2, S3).

KPA’s:

  • Develop, test, and maintain data pipelines and ETL processes.
  • Architect scalable data analytics frameworks.
  • Design and manage large-scale data processing solutions in AWS.
  • Automate data workflows for efficiency and performance.

Apply Now!

For more IT jobs, visit https://www.networkrecruitmentinternational.com/
If you have not received a response in two weeks, please consider your application unsuccessful. Your profile will be kept on our database for other suitable roles.
For more information, contact: Tristenn Schoeman Specialist Recruitment Consultant
tschoeman@networkrecruitment.co.za

Requirements:

  • Bachelor’s Degree in Computer Science, Computer Engineering, or related field.
  • AWS Certification (preferred).
  • 5+ years of experience in Data Engineering or Software Engineering.
  • 2+ years of Big Data experience.
  • 2+ years of AWS experience.
  • Strong knowledge of data modeling and distributed system architecture.
  • Proficiency in Python, Spark/PySpark, Talend, and AWS tools (EMR, EC2, S3).
  • Develop, test, and maintain data pipelines and ETL processes.
  • Architect scalable data analytics frameworks.
  • Design and manage large-scale data processing solutions in AWS.
  • Automate data workflows for efficiency and performance.
24 Mar 2025;   from: careers24.com

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