Specializing in Hadoop, Spark, and Kubernetes, this senior data engineer from Chile has built data solutions that ensure fault tolerance and high availability across cloud platforms.
Speciality: ETL
Mid-Level Data Engineer
This Costa Rica-based data engineer specializes in designing ETL pipelines using AWS and Apache Spark. Their hands-on experience with Kubernetes and Docker enables them to deploy and manage scalable cloud solutions.
Senior Data Engineer
A Costa Rica-based expert in scalable data architecture and governance, they have designed and deployed secure data platforms using AWS, Docker, and SQL-based warehousing solutions.
Junior Data Engineer
A Junior Data Engineer from Romania, this candidate has practical experience in working with SQL and Python for data transformation and management. They have worked on cloud-based solutions using AWS, building data pipelines and optimizing ETL processes. Docker and Git have been integral to their development workflow, enabling effective version control and deployment practices.
Junior Data Engineer
Based in Poland, this candidate brings a strong background in Python and SQL, with hands-on experience building and optimizing data pipelines. They have worked with AWS for cloud-based data solutions and are proficient in Docker for containerizing applications. Their experience with Git ensures smooth version control and collaboration in data engineering projects.
Senior Data Engineer
With extensive experience in AWS, Python, and SQL, this Mexico-based senior data engineer has built fault-tolerant, highly scalable data infrastructures supporting real-time and batch processing.
Mid-Level Data Engineer
A data engineer from Colombia, specializing in Python and SQL, they have built scalable ETL pipelines and optimized data warehousing strategies. They are well-versed in Docker and Kubernetes, ensuring smooth deployments.
Junior Data Engineer
This candidate, based in Argentina, has practical experience in Python and SQL for building robust data pipelines. They are well-versed in AWS and cloud technologies, having worked on deploying and maintaining ETL processes. Docker and Git are essential tools in their development workflow, ensuring seamless collaboration and automation of data processing tasks.
Senior Data Engineer
This Argentina-based data engineering leader has a track record of designing and optimizing petabyte-scale data ecosystems. Their work spans ETL pipeline automation, cloud infrastructure management, and data security best practices.