Description:
Job Description:
Design, build, and maintain robust data pipelines and ETL processes
Work with AWS services (S3, Glue, Redshift, Lambda, etc.) to manage and optimize data infrastructure
Write efficient, production-quality SQL for data transformation and analysis
Collaborate with analysts, engineers, and stakeholders to deliver reliable data products
Implement data quality checks, monitoring systems, and documentation to ensure integrity and transparency
Skills & Experience:
Solid experience with AWS cloud services in a data engineering context
Proficiency in SQL and strong knowledge of relational databases
Familiarity with Python or Scala for data processing
Experience with data warehousing and/or data lake architecture
A passion for clean, scalable systems and a sharp eye for performance optimization
Qualification:
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience)
Contact
23 Apr 2025;
from:
gumtree.co.za