AWS Data Engineer

Vacancy Details

  • Career Level Qualified / Experienced
  • Experience 3 Years
  • What we do Computers & IT & Telecoms
  • Qualifications Practical experience only

Job Description

Our client is a leading technology company based in Sandton, specializing in data engineering and advanced analytics solutions. With a strong focus on leveraging AWS services, they have established themselves as a trusted provider in the industry.

As pioneers in their field, they continuously strive to deliver cutting-edge solutions that help businesses unlock the power of their data.

Our client is looking for an experienced AWS Data Engineer to join their dynamic team. As an AWS Data Engineer, you will play a crucial role in designing, developing, and maintaining data engineering solutions on the AWS platform.

This role offers an exciting opportunity to work with state-of-the-art technologies and contribute to innovative projects. Immediate start is available for the right candidate. In addition to a competitive salary, our client offers attractive remuneration packages, allowances, and other incentives.

Duties and Responsibilities:

  • Develop and maintain data engineering solutions on the AWS platform.
  • Utilize strong SQL skills and programming knowledge in either C# or Python to design and implement data pipelines and workflows.
  • Apply object-oriented principles, such as classes and inheritance, in C# or Python programming for efficient and scalable solutions.
  • Utilize expert knowledge of data engineering packages and libraries to transform and process data effectively.
  • Collaborate with cross-functional teams to gather requirements and design robust data solutions.
  • Possess and maintain AWS technical certifications, such as Developer Associate or Solutions Architect, demonstrating expertise in AWS services.
  • Design, develop, and deliver microservices using serverless AWS services, including S3, RDS, Aurora, DynamoDB, Lambda, SNS, SQS, Kinesis, and IAM.
  • Ensure data integrity, security, and compliance with data governance standards.
  • Optimize data engineering solutions for performance, scalability, and cost-efficiency.
  • Troubleshoot and resolve data engineering issues, providing timely and effective solutions.
  • Stay updated with the latest AWS services, tools, and best practices in data engineering.

Qualifications and Experience:

  • Strong SQL skills and proficiency in either C# or Python programming languages.
  • Solid understanding of object-oriented principles, such as classes and inheritance.
  • Expert knowledge of data engineering packages and libraries in either C# or Python.
  • AWS technical certifications, such as Developer Associate or Solutions Architect.
  • Experience in developing and delivering microservices using serverless AWS services.
  • Familiarity with AWS data storage and processing services, including S3, RDS, Aurora, DynamoDB, Lambda, SNS, SQS, Kinesis, and IAM.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work effectively in a team environment.

GoldmanTech (Stand-Out Staffing)

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