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Application Development Lead- Big Data Hadoop Development

Job Description



JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at


Risk & Finance Technology (RFT) builds and supports the firm's financial

infrastructure to ensure Finance professionals have access to the tools and information necessary to drive success.  In partnership with Global Finance Operations (GFO), Global Technology Infrastructure (GTI) and others, we deliver solutions that meet the requirements of our key clients - the JPMorgan Chase CFO and Corporate Finance Organizations, as well as all line of business CFO teams.


Data Acquisition and Hosting organization within Risk and Finance technology is chartered with the mandate to streamline and single source all Transaction  and Position as well as reference data strategically with the aim of removing redundancy, driving efficiencies and estanlishing a single version of reconciled data for consumption across firmwide Risk and Finance Organization.


Big Data Applications Developer with a deep knowledge of Map Reduce and the Hadoop Ecosystem.

We are looking for someone experienced in the Risk & Finance Technology space for a Global Investment Bank with knowledge of Trades, Positions, Sensitivities, Cash flows, P&L and MTM. Experienced Java Developer that can develop applications ingesting data in to Hadoop (HDFS, HBase, Hive/Impala) from various applications, transforming data (YARN, Spark, Hive), converting data to different formats(Avro, Parquet) and streaming data (Kafka) out to consumers. Individual must be familiar with Application Security models, PII data, Data masking, Data encryption.Familiarity with Messaging frameworks, Rules based engines and Scheduling Software a big plus.



  • Must be proficient in Java development. Python, Scala development a big plus.
  • Must have exposure and knowledge of messaging frameworks. Kafka, Storm a big plus.
  • Exposure and or experience with Rules based frameworks.
  • HDFS and Hadoop Ecosystem knowledge and hands-on experience
  • Experience integrating a relational database and a NoSQL store
  • Experience developing Map Reduce/YARN applications.
  • Experience and or exposure to Spark, Scala is a big plus.
  • Experience with Hbase, HIVE and/or Impala is a big plus
  • Experience in troubleshooting, debugging and optimizing Map Reduce
  • applications.
  • SQL application development experience
  • Participate in code reviews to assure that developed and tested code conforms to the design and architecture principles and accurately reflects the business information models.
  • End-to-End experience seeing projects to completion and turnover to operations staff.
  • Preparation of documentation of infrastructure and operational procedures. 

Must Have:

  • Experience designing, testing and deploying Map Reduce applications in an HDFS/Hadoop Ecosystem
  • SQL development experience
  • Java development experience


Additional requirements:

  • Very strong analytical and problem solving skills, great communication and team player skills.
  • A focus on high quality deliverables and meeting deadlines.
  • Be someone who will bring ideas to the table and always looking to improve the development process of the team.
  • Self-starter, ability to work independently or with others.


Education Requirement:

College degree with a major in a technical field or specialized training / equivalent work experience

Req #: 160030082
Location: Brooklyn, NY US
Job Category: Technology
Employment Type: Full Time
Potential Referral Amount: 0 US Dollar (USD)

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