Data Engineer – Spark/Hbase/Hadoop/Streaming

Job Overview

Our client, a leading global financial services company, has approximately 200 million customer accounts and does business in more than 140 countries. They provide consumers, corporations, governments and institutions with financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Description Data Engineer – Expertise in Data Engineering. Hands-on experience in design and development of big data platform. – Deep understanding of modern data processing technology stacks Spark, HBase and other Hadoop ecosystem technologies. Development using Scala is a plus. – 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 – Understanding of the theory and application of Continuous IntegrationDelivery – Experience with NoSQL technologies including column family, graph, document, and key-value data storage technologies is a plus. – Passion for software craftsmanship. Experience in Financial Industry is a plus. RoleActivities As data engineer for financial data report, heshe will perform following activities as assigned by Client manager. – Requirement analysis – Design and Development – Writing automated test cases and peer reviews – Maintenance of CICD pipeline and deployments – Support for testing and production issues as level 3. 142062 Please see our complete list of jobs at Data Engineer - Spark/Hbase/Hadoop/Streaming 1

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