Join a market leader in compliant call recording solutions and beyond capturing every interaction, with analytics platform extracts, processes and delivers insights from millions of data points across diverse communication channels the analytics team is looking for an additional Data Engineer to take their offering to new heights. The Data Engineer will be responsible for tasks such as data engineering, code development, ETL (Extract Transform Load) workflows, data warehousing , and cloud engineering on a day-to-day basis.
Responsibilities:
- Responsible for tasks such as data engineering, code development, ETL (Extract Transform Load) workflows, data warehousing, and cloud engineering on a day-to-day basis
- Big data engineering, creating and optimizing efficient pipelines that process tens of millions of rows of data.
- Tangible use cases with Large Language Models, topic detection as well as many other NLP toolkits.
- Designing, architecting and implementing cloud infrastructure to manage big data workflows and enable intuitive analytics
- Establish DevOps environment, learning about efficient deployment and code management practices
Qualifications and Experience:
- Bachelor''s degree (or higher) in Computer Science, Engineering, or related technical field
- Data Engineering, Data Modelling, and ETL (Extract Transform Load) skills
- Data Warehousing and Data Analytics skills
- Experience in developing and maintaining data pipelines
- Python, SQL or other programming languages
- Familiarity with Azure is a Plus
The Reference Number for this position is NG 59775 which is a Remote position offering a salary of R800k R1mil CTC salary negotiable based on experience. E-mail Nokuthula on
