Über
Supports critical data ingestion, streaming and model monitoring platforms that enable real time decisioning and fraud risk capabilities. The team contributes to enhancements & modernization. The main team focus right now is model monitoring, second is modernization of applications/legacy systems and third, leveraging AI tools High level overview : Engineer with experience in Scala, Python or Java, Big Data+ AWS/Databricks. Needs AI agent knowledge to create agents within the team to automate the processes Core skills: Data Engineering / Streaming Platforms (Kafka, real-time pipelines using scala/python, NIFI) Big Data Platforms (Spark, Hadoop/Ozone, Hive or impala, AWS, Databricks, cloudera manager platform) Production Support & Platform Reliability (using Splunk for monitoring, troubleshooting, performance tuning) Strong SQL AI agent knowledge
Sprachkenntnisse
- English
Hinweis für Nutzer
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