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.
Availability: Full Time
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.
Senior Data Architect
Based in Malaysia, this Senior Data Architect is proficient in Apache Flink, MySQL, and Kubernetes, streamlining real-time analytics workflows for global enterprises.
Junior Data Engineer
Based in the United Kingdom, this Junior Data Engineer has experience in Python and SQL, adept at writing efficient queries and scripts for data extraction and transformation. They have worked with AWS to deploy ETL processes and manage data pipelines, demonstrating strong capabilities in cloud platforms and containerization with Docker. Their familiarity with Git ensures efficient version control and collaboration within teams.
Mid-Level Data Engineer
Based in the United Kingdom, this data engineer has a strong foundation in Python, SQL, and Apache Spark, leveraging these technologies to build scalable data pipelines. With hands-on experience in AWS, they have designed and optimized data warehousing solutions, ensuring efficient ETL processes.