Cloud Data Engineer - AWS, Serverless & IaC Expert
hearX
Pretoria
On-site
ZAR 600,000 - 800,000
Full time
14 days+
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Job summary
A data solutions company in Gauteng is seeking an experienced data engineer to create and manage the technological data infrastructure. The role encompasses designing and implementing cloud architectures, developing serverless applications, and ensuring compliance with security best practices. Candidates should possess at least a Bachelor's degree in Computer Science or Engineering, AWS certification, and 5+ years of relevant experience. The position offers an opportunity to work with advanced data technologies in a dynamic environment.
Qualifications
Minimum of 5 years relevant working experience.
Experience in AWS services used for data warehousing, computing, and transformations.
Experience with SQL and NoSQL databases.
Responsibilities
Design and implement scalable cloud architectures.
Develop serverless applications and manage containerized environments.
Develop and maintain Infrastructure as Code using Terraform.
Monitor infrastructure performance and security.
Implement cloud security best practices.
Skills
Python (especially PySpark for AWS Glue)
Data modeling
Database optimization
Proficiency with AWS
Infrastructure as Code
Education
Bachelor’s degree in Computer Science or Engineering (or similar)
Honours degree in Computer Science or Engineering (or similar)
AWS Certified Solutions Architect
Tools
AWS Glue
AWS S3
AWS Lambda
AWS Step Functions
AWS Athena
AWS CloudWatch
PostgreSQL
MySQL
DynamoDB
Job description
A data solutions company in Gauteng is seeking an experienced data engineer to create and manage the technological data infrastructure. The role encompasses designing and implementing cloud architectures, developing serverless applications, and ensuring compliance with security best practices. Candidates should possess at least a Bachelor's degree in Computer Science or Engineering, AWS certification, and 5+ years of relevant experience. The position offers an opportunity to work with advanced data technologies in a dynamic environment.