Data Infrastructure Engineer
A company is looking for a Data Infrastructure Engineer who will support a dynamic environment within the public sector.
Key Responsibilities
Integrate COTS and open-source products to create tailored solutions for customer requirements
Develop data pipelines and implement ETL processes for both stream and batch processing
Conduct data modeling and operate distributed data storage stacks, focusing on Elasticsearch and Kafka
Required Qualifications
Minimum of 5-7 years of relevant experience
Proven experience in developing scalable data pipelines and integrations
Solid understanding of application architecture and data modeling
Expertise in streaming data and real-time data processing solutions
Experience with containerized environments (Docker, Kubernetes)
A company is looking for a Data Infrastructure Engineer who will support a dynamic environment within the public sector.
Key Responsibilities
Integrate COTS and open-source products to create tailored solutions for customer requirements
Develop data pipelines and implement ETL processes for both stream and batch processing
Conduct data modeling and operate distributed data storage stacks, focusing on Elasticsearch and Kafka
Required Qualifications
Minimum of 5-7 years of relevant experience
Proven experience in developing scalable data pipelines and integrations
Solid understanding of application architecture and data modeling
Expertise in streaming data and real-time data processing solutions
Experience with containerized environments (Docker, Kubernetes)