Key technologies and capabilities for this role
Common questions about this position
The role requires extensive experience with Apache Kafka, Apache Flink, and streaming technologies; proficiency in Hadoop ecosystems like Hive, Iceberg, Spark SQL; good understanding of Apache Airflow; proficiency in Python, Unix, SQL, Java + Spring Boot; plus skills in Ops & CI/CD, core engineering, and cloud native technologies like Docker and Kubernetes, along with 6+ years of experience.
This information is not specified in the job description.
This information is not specified in the job description.
You'll join the Cloud Data Technologies (CDT) team in Dublin, working on the Hadoop-based data warehouse with passionate thinkers, innovators, and dreamers, collaborating with data engineers, analysts, and platform engineers.
A strong candidate will have 6+ years of directly applicable experience, a BS in Computer Science, Engineering, or equivalent, and hands-on expertise in building scalable data pipelines with tools like Kafka, Flink, Hadoop, Spark, Airflow, Python, Java, and cloud native technologies.
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