scalable, secure, and robust cloud infrastructure on AWS. Implement and manage CI/CD pipelines to streamline experience in cloud engineering, with a strong focus on AWS. Proven experience in DevOps practices, including
simplified solutions are currently looking for an AWS Data Engineer to join their fast-paced and dynamic on-premise data warehouses to data platforms on AWS cloud using AWS or 3rd party services and Kafka CC. Design engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming. Perform detail platforms and create an appropriate transition path to AWS cloud. Design, implement and support an analytical data from a wide variety of data sources using SQL, AWS big data technologies and Kafka CC. Create and support
international expertise has a vacant position for an AWS Data Engineer to work within a team solving complex data transformations Building data pipeline using AWS Glue or Data Pipeline, or similar platforms Preparing modelling and schema design (“not drag and drop”) Kafka AWS EMR, Redshift The Reference Number for this position
Kafka IIB AWS Cloud (migration of applications to the cloud, deployment on AWS, development on AWS) Great
needs Implement ETL processes using tools such as AWS Glue, Azure Data Factory, Matillion, SSIS Collaborate Spark, AWS EMR, Databricks is a plus Experience with data streaming technologies like Kafka AWS Databricks
offerings and global reach. We are seeking a talented AWS Data Engineer to become a crucial part of their dynamic resilient data pipelines, leveraging platforms like AWS Glue or Data Pipeline. Craft precise specifications practical implementation. Knowledge of Kafka and AWS services like EMR and Redshift. The Reference Number
Advantageous: JSF Angular AWS ECS, Fargate, Lambda PaaS Knowledge (Cloud, AWS) Java EE Containers (Glassfish
expertise in using cloud platforms (Azure, Google Cloud, AWS) Good understanding of server-side CSS pre-processors
(Payara/Glassfish/JBoss etc.) PaaS Knowledge (Cloud, AWS ECS / Fargate / Lambda) Build Tools (Maven) Jenkins
schemas Etc. Infrastructure: Familiar with Cloud AWS or AZURE Skills: Working with ETL (extract, transform