Java Developer / Prod Support (w/Big Data)

Zencon Group
Zencon Group

  • US
  • Post Date: 15 August 2020
  • Views 10
Job Overview

Job title Java Developer Prod Support (wBig Data) Location Raleigh, NC Remote for now, but have to relocate to be Onsite when required Duration 6 months Job Description Zencon Group, is searching for a Java Developer Prod Support (w Big Data) a Contract assignment with one of our premier financial services clients in Raleigh, NC. Responsibilities Building and maintaining an optimized and highly available data pipelines Deeper analysis to build data processing framework (Managed data layer) Be part of the thriving team to develop the Leverage Exposure functionality. This individual will work closely with the Product Control (PC), Financial Accounting (FA), Risk clients, and Change teams to understand requirements and work with business analysts, architecture and development resources to design solutions to meet business needs. Heshe will liaise with multiple IT teams to drive forward delivery. Required Skills Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar. Experience in financial services industry products and regulatory development. Solid working experience in various forms of data infrastructure inclusive of RDBMS, such as SQL, Hadoop, Spark, Java, Unix, Oracle and OBIEE JAVA, HADOOP AND BIG DATA TECH STACK (Map Reduce, Hive, HDFS, Spark, Scala) ARE MOST IMPORTANT TOMCAT 8 years relevant professional experience in Data Engineering and Business Intelligence 3 years in with Advanced SQL (analytical functions), RDBMS, ETL, Data warehousing. 50 Prod Support and 50 Hands-On Development Regarding the support aspect Primary support the users, but also to look into code, provide calculations, in depth builderdeveloper level support (NOT L1L2) End to End development ndash anything risk related like capital calculations are an advantage Regarding Development ndash 10 front end 40 back end Advanced data analysis skills Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL ELT and reportinganalytic tools and environments, data structures, data modeling and performance tuning. Ability to effectively communicate with both business and technical teams.

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