Scala, Spark

You should have 5+ years of experience with expertise in Data Engineering. Your hands-on experience should include design and development of big data platforms. The ideal candidate will have deep understanding of modern data processing technology stacks such as Spark, HBase, Hive, and other Hadoop ecosystem technologies, with a focus on development using Scala. Additionally, you should possess deep understanding of streaming data architectures and technologies for real-time and low-latency data processing. Experience with agile development methods, including core values, guiding principles, and key agile practices, is required. Understanding of the theory and application of Continuous Integration/Delivery is a plus. Familiarity with NoSQL technologies, including column family, graph, document, and key-value data storage technologies, is desirable. A passion for software craftsmanship is essential for this role. Experience in the Financial Industry would be beneficial.,