Senior Big Data Developer
Crédit Agricole CIB
Paris, France
il y a 14j


Crédit Agricole CIB is the Corporate and Investment Banking arm of the Crédit Agricole Group, the world's n 13 bank measured by Tier One Capital (The Banker, July 2017)

Crédit Agricole CIB offers its clients a large range of products and services in capital markets, investment banking, structured finance and corporate banking.

The Corporate and Investment Bank is structured around six major divisions :

  • Client Coverage & International Network,
  • International Trade & Transaction Banking,
  • Global Investment Banking,
  • Structured Finance,
  • Fixed Income Markets,
  • Debt Optimisation and Distribution.
  • The Bank provides support to clients in large international markets through its network with a presence in major countries in Europe, America, Asia Pacific and the Middle East.

    Job summary

  • Study, evaluate and provide feedback on functional specifications.
  • Provide detailed estimation for development of solutions
  • Implement solutions using TDD
  • Perform non-functional testing
  • Perform design and code review for other team members
  • Mentor junior team members
  • Prepare documentation for design and implementation
  • Support applications in production - analyze and resolve issues as they arise
  • Minimal education level

    Bachelor Degree / BSc Degree or equivalent

    Academic qualification / Speciality

    Relevant degree or equivalent

    Level of minimal experience


  • At least 6 years in Java / J2EE development
  • At least 2 years of experience in big data development on Hadoop eco-system
  • Required skills

  • Basic understanding of finance and investment banking
  • Strong organizational and communication skills
  • Strong analytical and problem solving skills
  • Awareness of various software development procedures
  • Ability to follow defined procedures
  • Technical skills required

    Big data : Hands on knowledge on Hadoop - HDFS, Spark, Spark streaming, Spark SQL, Kafka, HBase, Hive, Flume. Knowledge of tools like Phoenix, SOLR, Sqoop, Talend is be good to have.

    Solution design using proven patterns, awareness of anti-patterns, performance tuning

    Java / J2EE, Spring, Spring MVC / Struts / JSF, Java script, JQuery

    Relational databases Oracle / MSSQL / Sybase

    Build tool - Maven / / sbt / ant, UML, JMS / Websphere MQ, Restful web services, Jenkins / Team City, Source management SVN / GIT, TDD using Junit, DBUnit, Jira / QC.

    Application server Jboss / Websphere / Weblogic

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