ETL Developer

SUMMARY:
In need of ETL Developer skills in JHB!

POSITION INFO:
As an ETL Developer, you are the architect of data movement, the problem-solver who ensures that information flows smoothly from multiple sources to where it’s needed most. You extract data from diverse systems, transform it into a usable format, and load it into data warehouses or platforms that power critical business insights.
 
Your work is the backbone of data-driven decision-making. You design and maintain pipelines that handle vast amounts of data with precision, ensuring accuracy, consistency, and security at every stage. Whether you're optimising workflows, troubleshooting issues, or integrating new data sources, you’re the person businesses rely on to turn raw data into an asset.
 
An ETL Developer’s role is both technical and creative, requiring analytical thinking and a proactive approach to building systems that support seamless data integration. Your efforts enable organisations to make smarter, faster decisions—and unlock the full potential of their data.
 
For more information reach out to: J
 
Duties:
 

• Design, develop, and maintain robust ETL processes to extract data from multiple sources and integrate it into data warehouses or analytics platforms.
• Ensure data accuracy, consistency, and security throughout the ETL lifecycle.
• Collaborate with data architects and business analysts to understand requirements and translate them into technical solutions.
• Monitor, troubleshoot, and optimise ETL workflows for performance and reliability.
• Implement data quality checks and address discrepancies to maintain high data integrity.
• Document ETL processes, workflows, and configurations for future reference and scalability.
• Stay updated with emerging ETL tools and technologies to recommend and implement improvements.

• Matric (Grade 12)
• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• An Honour’s degree in Data Management, Analytics, or Business Administration is advantageous.
• Certifications in relevant ETL tools or data engineering (e.g., Informatica, Talend, Microsoft Azure Data Engineer) are advantageous.

• 3 – 5 years of experience in ETL development, data integration, or data engineering.
• Hands-on experience with building and maintaining large-scale ETL workflows.
• Proven track record in optimising ETL processes and troubleshooting issues in data pipelines.
• Familiarity with data governance and compliance requirements is a plus.

• Proficiency in ETL tools like Informatica, Talend, Apache NiFi, or SSIS.
• Strong SQL skills and experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).
• Knowledge of data warehousing concepts and design principles.
• Familiarity with programming languages such as Python, Java, or Scala for data processing.
• Experience with cloud platforms like AWS, Azure, or Google Cloud for data integration.
• Analytical mindset with strong problem-solving abilities.
• Ability to collaborate effectively with technical and non-technical stakeholders.
• Excellent organisational and documentation skills.