Enterprise Data Engineer Quantexa

Knowledge and experience in the Compliance / AML domain will be a plus,Working experience with Quantexa tool is a must,Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments Proficiency in Scala programming language and familiarity with functional programming concepts Experience with Quantexa tool is highly preferred,Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools,Experience with Graphana, Prometheus, Splunk will be an added benefit Experience integrating and working with Elasticsearch for data indexing and search applications Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization Experience with distributed computing, parallel processing, and working with large datasets Proficient in performance tuning and optimization techniques for Spark applications and Elasticsearch queries Strong problem-solving and analytical skills with the ability to debug and resolve complex issues Familiarity with version control systems