6 of 6 Kafka Jobs in Northern Ireland

Stack.. • Languages & Frameworks: C#/.NET Core, React, Python • Databases: SQL & NoSQL • Cloud & Infrastructure: AWS, Azure, GCP, Docker, Kubernetes, CI/CD • Messaging & APIs: Kafka, RabbitMQ, RESTful, GraphQL • Other: Git, large‐scale distributed systems, open‐source contributions Interviews taking place next week! 3-stage interview process. Message me with ...

JIRA and Confluence Nginx or web server technologies Gluster or storage technologies Git and version control Elasticsearch technologies - especially Kibana Experience with Apache Kafka and Druid At Partnerize, we recognize it is unrealistic for a candidate to fulfil 100% of the criteria in this job description. We encourage ...

platform architecture and help improve maintainability, reliability, and scalability Assist in integrating new technologies and frameworks to support evolving business needs Bonus Experience Kafka, Spark, Trino, Redis SQL (Postgres, Oracle) Cloud technologies: AWS, Kubernetes, Docker Observability tools: Splunk, Prometheus, Grafana Secondary languages: Python, Ruby Compensation: Competitive (circa £150k total ...

Data Governance roles with production systems. Strong SQL and hands-on experience with one or more: Spark/Databricks, dbt, Airflow/Databricks Workflows, Kafka/Kinesis, Python. Experience implementing data quality frameworks and observability (e.g., Great Expectations, Soda, Monte Carlo, Databricks DQ, BigQuery DQ, OpenLineage). Practical knowledge ...

operations Tech Stack: Python (Flask, FastAPI) Azure (Event Hub, Functions, Data Factory) Snowplow Snowbridge APIs (Appsflyer, Firebase, sGTM) JavaScript (GTM tags) Event-driven tools (Kafka, RabbitMQ) Monitoring (Grafana, Prometheus) If this one sounds like you, please apply! Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment ...

solutions: Design, train, and deploy machine learning models and workflows with a focus on production-readiness, leveraging tools like Docker Containers, Kubernetes, MLflow, Kafka, and AWS Services. Leverage vector databases and streaming systems: Design and implement solutions with vector databases and Kafka to handle large-scale, high-dimensional … such as FastAPI or stream processing libraries like Faust. Experience using tools like Jupyter Notebooks, AWS SageMaker, and AWS Bedrock. Hands-on expertise with Kafka and vector databases. Experience managing ML lifecycle workflows with MLflow. Deep understanding of LLMs and generative AI, with experience applying them to solve business ...