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.
Speciality: SQL
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.
Junior Data Engineer
Located in Chile, this Junior Data Engineer has solid experience working with Python, SQL, and data warehousing technologies. They have worked with AWS to implement efficient ETL pipelines, leveraging cloud platforms for scalability. Docker and Git are integral to their workflow, allowing them to collaborate effectively and maintain high-quality data engineering practices.
Mid-Level Data Engineer
A mid-level data engineer based in the Chile, proficient in Python and SQL, they have worked extensively with Airflow and Kafka to streamline data ingestion and processing workflows.
Senior Data Engineer
Based in the United Kingdom, this senior data engineer has built and optimized large-scale distributed systems, leveraging Apache Spark, Hadoop, and AWS. With deep expertise in Python and SQL, they focus on designing scalable, secure, and high-performance data architectures.
Junior Data Engineer
Based in the Canada, this Junior Data Engineer is skilled in SQL and Python, with hands-on experience working with data pipelines and ETL processes. They are proficient in AWS and cloud platforms, particularly in optimizing data warehousing solutions. With Docker for containerization and Git for version control, they have a strong foundation for collaborative development in a fast-paced environment.
Mid-Level Data Engineer
With a background in data engineering in Canada, this professional has extensive experience working with AWS-based data architectures. Proficient in Python and Docker, they have developed robust ETL workflows and automated CI/CD pipelines.
Senior Data Engineer
This Canada-based senior data engineer specializes in optimizing big data workflows with Hadoop and Spark. Their expertise in cloud platforms and distributed systems enables seamless scalability and performance tuning.