Data Engineer
Summary
Design and maintain scalable data pipelines using Airflow, Spark, Kafka, and cloud warehouses like Snowflake or BigQuery, optimizing performance and delivering data-driven insights.
Qualifications:
Apply now!
- Relevant Degree or Diploma in IT Computer Science Data Science or related field
- Cloud or Data Engineering certifications advantageous
- 3+ years Data Engineering experience
- Experience with Airflow Spark or Kafka
- Experience with Snowflake BigQuery or Redshift
- Knowledge of Docker and Kubernetes
- AWS or Azure experience
- Familiarity with CI CD pipelines
- Design and maintain scalable data pipelines
- Support data warehousing and analytics platforms
- Optimise data processing and performance
- Implement cloud-based data solutions
- Collaborate with stakeholders to deliver data driven insights
Apply now!