This experienced senior data engineer in South Africa has designed and deployed scalable, real-time data pipelines leveraging Spark Streaming, Kafka, and Kubernetes.
Speciality: ETL
Mid-Level Data Engineer
An expert in cloud-based data solutions, this Switzerland-based data engineer integrates AWS, Docker, and Kubernetes for robust data infrastructure management.
Senior Data Engineer
A data engineering leader based in Switzerland, they have spearheaded cloud adoption strategies, enhancing data security and performance in large-scale applications.
Junior Data Engineer
This Junior Data Engineer, located in Austria, has a strong background in Python and SQL, and has worked with AWS to build and optimize cloud-based ETL pipelines. Their use of Docker and Git ensures that they can collaborate effectively in teams and maintain efficient development workflows for scalable data solutions.
Mid-Level Data Engineer
With a focus on SQL and data modeling, this Austria-based professional develops high-performance ETL pipelines and ensures efficient cloud-based data warehousing.
Mid-Level Data Engineer
This data engineer in the Finland excels in Python and Apache Airflow, automating complex data workflows and optimizing data storage solutions.
Senior Data Engineer
With a strong background in big data technologies, this Finland-based senior data engineer has built efficient ETL pipelines and optimized cloud-based data storage architectures.
Mid-Level Data Engineer
A Germany-based mid-level data engineer with a focus on big data technologies such as Spark and Kafka. Their expertise in AWS and NoSQL databases supports efficient data processing.
Junior Data Engineer
Based in South Africa, this Junior Data Engineer has hands-on experience with Python, SQL, and cloud platforms. They have worked on deploying ETL processes and building scalable data pipelines using AWS. Docker and Git are integral tools in their development workflow, helping to streamline deployment and version control processes.