Based in Spain, this candidate is a Junior Data Engineer skilled in Python and SQL, with practical experience in creating data pipelines. They have worked with AWS and cloud technologies to build scalable ETL processes, and their knowledge of Docker enables smooth deployment in various environments. Git is a key tool for managing code and collaborating with teams.
Speciality: ETL
Mid-Level Data Engineer
With hands-on experience in Apache Spark and Kubernetes, this Spain-based data engineer has developed scalable big data solutions. Their expertise in SQL and data modeling enhances performance optimization.
Senior Data Engineer
A Spain-based leader in data pipeline optimization, they specialize in distributed data processing, using technologies like Hadoop, Spark Streaming, and Kubernetes.
Mid-Level Data Engineer
A data engineer from Portugal, with expertise in AWS and real-time data processing using Kafka. They specialize in designing and implementing high-throughput data pipelines.
Mid-Level Data Engineer
With a passion for big data, this Poland-based engineer excels in Apache Spark and Kafka, enabling real-time data streaming solutions. Their experience in SQL and AWS ensures scalable data storage and processing.
Junior Data Engineer
This Junior Data Engineer, based in the Czech Republic, has solid experience in Python and SQL, primarily focused on building and maintaining efficient data pipelines. They have worked with AWS services to deploy ETL processes and ensure data scalability. Docker and Git play key roles in their workflow, enhancing collaboration and streamlining development tasks.
Senior Data Engineer
With a career spanning multiple industries, this Czech Republic-based senior data engineer has led teams in building efficient ETL pipelines, advanced cloud solutions, and big data frameworks.
Junior Data Engineer
Located in Hungary, this Junior Data Engineer has experience in Python, SQL, and cloud technologies, particularly AWS. They have worked extensively on building and optimizing ETL pipelines and data warehousing solutions. Docker and Git allow them to work efficiently in team-based projects and maintain streamlined processes for deployment and source control.
Senior Data Engineer
This experienced data engineering professional in the Hungary specializes in Spark, Hadoop, and data governance, ensuring data integrity and efficiency in high-scale cloud environments.