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Senior Software Engineer - Java & Big Data

Req #: 170090618
Location: Dallas, TX, US
Job Category: Technology
Potential Referral Amount: 5000 US Dollar (USD)
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.5 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.
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Chase Merchant Services data management team is looking for Technical Team Lead with experience in big data and technologies such as Hadoop, Kafka, Spark, Cassandra and related ecosystem stack to work on a Greenfield data and analytics platform. The successful candidate will be involved in all phases of development lifecycle, from proof of concept to delivery of end to end solution. You will be working on implementing complex data projects with a focus on ingesting, parsing, managing, analyzing and building APIs/Visualization of large sets of data.
  • Lead and develop the big data platform
  • Design, build, implement, document and automate ingestion (real time and batch), enrichment and analytics data pipelines using big data tools and technologies
  • Design NoSQL Data models for sub milliseconds queries and to store data in most space efficient way
  • Building APIs and SDKs in Java for customer facing corporate portal
  • Will be working with various  teams across the firm
  • Gathering and refining requirements from stakeholders
  • Ability to develop Spark frameworks for wider developer base consumption
  • Production support of live data pipelines
  • Working with developers in other component teams to ensure consistent integration of services across teams
Key Attributes 
  • Hands on experience with Kafka, Spark, Elastic Search, Cassandra and related stack
  • Strong engineering background and experience with agile practices such as Continuous Integration, Continuous Development, Test Driven Development, and DevOps automation tools
  • Strong Programming skills using Java
  • Solid understanding of Enterprise patterns and applying best practices when integrating various inputs and outputs together at scale.
  • Work to tight deadlines, thrive when under pressure and manage time accordingly
  • Must be able to communicate clearly with business partners, business analysts, and other development teams
 Required Experience
  • Indepth knowledge of Java 8
  • Indepth knowledge of OO and SOLID design principles
  • Demonstrable experience of successfully delivering big data projects using Kafka, Spark, Elastic Search, Cassandra and related stack
  • Experience building low latency, high throughput APIs using Spring Boot
  • Able to tune big data solutions to improve performance
  • Excellent understanding of Spring framework
  • Experience with Oracle databases
  • Testing frameworks
  • Performance and monitoring tools
  • Continuous Integration & Delivery tools
  • Git
 Desirable Experience
  • Working experience with Hadoop based technologies such as HBase, Impala, Yarn is a plus
  • Experience with HTML5
  • Knowledge of BI and Visualization tools such Cognos, Tableau and Open source frameworks is a plus
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