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Big Data Developer - Intelligent Solutions

Req #: 170079419
Location: New York, NY, US
Job Category: Technology
Potential Referral Amount: 0 US Dollar (USD)

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2 trillion and operations in more than 60 countries. The firm is a leader in investment banking, financial services for consumers, small business and commercial banking, financial transaction processing, asset management, and private equity. 

  

JPMorgan Intelligent Solutions (JPMIS) is a new group considering ways to transform and leverage JPM proprietary data assets into opportunities for JPM.  Protecting and managing intellectual property effectively as well as utilizing it to develop solutions that are both customized and scalable will enable JPM to create additional shareholder value.

  
JPMIS (JPM Intelligent Solutions) creates & commercializes solutions based on the firm’s information & analytic resources that enable consumers, businesses & governments to make better decisions and achieve their objectives.
 
Reporting to the Data Management and Operations (DMO) Team Manager for JPMIS Data Operations, the DMO  - ETL/Hadoop/Java Developer is responsible for executing the growth strategy of JPMIS by expanding key data assets with both internal firm resources as well as external data. The candidate to be results-driven with a passion for transforming large disparate data sets into actionable information. This person will be an integral part of building a best-in-class data management and governance framework leveraging Big Data technologies. The ideal candidate will possess strong data mining and analytical skills, along with exceptional relationship management skills and commitment to delivering high quality solutions.
 
The ideal candidate for this position is results-driven with The candidates for this role must be willing to push the limits of traditional development paradigms typically found in a data-centric organization while embracing the opportunity to gain subject matter expertise in a variety of data assets ranging from financial to digital/mobile.
 
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
  • Effectively partner with the Data Insights team to drive usage and improvement of the IntelliStor data asset that drives analytics within JPMIS and for our strategic partners
  • Innovate new ways of managing, transforming and validating data
  • Establish and enforce guidelines to ensure consistency, quality and completeness of all JPMIS data assets
  • Apply quality assurance best practices to all work products
 Building Relationships and using Influence
  • Self-evident interpersonal skills
  • Recognizes nuances in reading others and leverages these to influence key stakeholders
  • Excellent communicator and listener who is able to present across all levels in the organization
 Executing for Results
  • Possesses high levels of energy and endurance
  • Rigorously holds oneself and others accountable for achieving high levels of individual and organizational performance

Financial Services background or experience preferred across different LOBs. (Consumer, Commercial, Asset Management & CIB)

  • Exceptional knowledge of the software development life cycle, especially in the analysis of software design, code development and its application to testing
  • Proven proficiency with data and quantitative research techniques
  • Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way
  • Intensive, recent experience in assessing and sourcing data needs
  • Detail oriented with a commitment to innovation
  •  Business Acumen
    • Consistently evaluates decisions in terms of impact to the business
    • Uncovers hidden opportunities in disparate data and translates them into actionable information
    • Technical expertise regarding data management frameworks and ETL solutions
    • Technical expertise regarding data models and database design development
    • Experience with SQL, ETL frameworks and data visualization tools
     Knowledge/Technical Skills
    • 5+ years’ Experience in Big Data technologies and utilities (Hadoop, Spark SQL, Hive, Impala, Pig, Kafka) is required.
    • 3 years’ experience with MPP databases like Greenplum, Neteza is preferred. Ability to troubleshoot issues and develop functions in an MPP environment is highly desired.
    • 3 Experience utilizing and extending ETL solutions (e.g., Informatica, Talend, Pentaho, Ab Initio) in a complex, high-volume data environment is highly desired
    • 3+ years of SQL experience and ETL development is required
    • Strong 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
    • 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
    • Overall 8 – 12 years of experience
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