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Big Data Developer - Intelligent Solutions

Req #: 170111846
Location: New York, NY, US
Job Category: Technology
Potential Referral Amount: 0 US Dollar (USD)
JPMorgan Intelligent Solutions (JPMIS) transforms JPMC data assets to create and commercialize information and solutions that enable consumers, businesses and governments to make better decisions and achieve their objectives. JPMIS also uses Big Data Technology to improve efficiency and information use within JPMC.   
 
Responsibilities
  • Work on variety of projects with very diverse needs. For example
    • Develop next-generation Big Data management frameworks and backend services
    • Build and implement front-end web applications and back-end services that integrate with other products.
    • Develop advance ETL solutions using variety of ETL tools for Big Data Environments
    • Develop high-performance processing and analytics applications using Spark
  • Interact with clients both within JPMIS and across the firm (including counterparts in Retail & Wholesale Banking, Risk, Digital/Mobile)
  • Validate requirements and system design
  • Automate and streamline existing processes, procedures, and toolsets
  • Ensure code paths are unit tested and defect free
  • Participate in full integration testing
  • Rapidly address issues and fix defects discovered during deployment
  • Apply quality assurance best practices to all work products
Knowledge/Technical Skills
  • 1.5+ years’ Experience in Big Data technologies and utilities (Hadoop, Spark SQL, Hive, Impala, Pig, Kafka) is required.
  • Experience with MPP databases like Greenplum, Netezza is preferred. Ability to troubleshoot issues and develop functions in an MPP environment is highly desired.
  • Very good knowledge of the software development life cycle, agile methodologies, and test driven development
  • 1 Experience utilizing and extending ETL solutions (e.g., Informatica, Talend, Pentaho, Ab Initio) in a complex, high-volume data environment is highly desired
  • 1.5+ years of SQL experience and ETL development is required
  • 2+ year of programming experience in either Java,  Python and/or other functional programming skills
  • Working hands-on experience with scheduling & data integration tools like Control-M and Ni-Fi is highly desired.
  • Sound understanding of continuous integration & continuous deployment environments
  • Solid understanding of application program interfaces (APIs), messaging software and interoperability techniques and standards
  • Experience with building Graph databases is desired.
  • Strong analytical skills with a passion for testing
  • Excellent problem solving and debugging skills
  • Team collaboration maintaining exceptional code, architecture and documentation
  • Strong exposure in Data Management, Governance and Controls functions
  • Bachelor's or Advanced Degree in Information Management, Computer Science, Mathematics, Statistics, or related fields desired
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