Bachelors degree in Computer Science, Engineering, Information Systems, Information Technology or related field willing to accept foreign education equivalent plus five years of experience in financial industry business knowledge in major data consumption use cases in financial services. Specific skillsother requirements Experience must include quantitative experience requirements not applicable to this section defines develops enterprise data architecture concepts and standards leveraging leading architecture practices and advanced data technologies like Structured Query Language SQL, MS SQL Server, Oracle, AWS RDS, Dynamo DB and Mongo DB; develops governance processes around data leveraging the Enterprise Data Architecture framework; develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs; develop, maintain and execute Data modeling of large enterprise programs and define Data lineage strategy; end to end solutioning experience of technology platforms built with UnixLinux, Java or similar technologies like OpenShift, AWS or WebSphere; experience in utilizing and implementing DevOps practices; development and testing of micro serviceoriented architecture SOAPRESTful based systems or similar techniques; integrate with Datawarehouse platforms built over cloud AWS, Hadoop or Netezza; develop distributed event streaming platform using Kafka and other streaming tools like Confluent Connector; working in Scaled Agile model with Location Independent Teams LIA using collaboration tools like JIRA; coding merging, branching and building process using Bitbucket and Bamboo; and QA automation frameworks using JavaSelenium, Unified Functional Testing UFT, JUnit, TestNG and SoapUI.br br H.10B Sr. Specialist III IC Data Architecture or related occupation developing financial industry business knowledge in major data consumption use cases in financial services.
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