Définition de poste:

Data services developer will be responsible of following data management technology with development of new evolution requirement and prepare documentation to implement and rollout of any upgrade, patches, or new open source integration (KUBERNETES, DOKERS HADOOP, S3)

Otherwise he will develop a new Data driven application for business usage

Tâches Principales:

-         Experienced in KUBERNETES DOKERS Production and private cloud technologies.

-         Strong KUBERNETES DOKERS technology knowledge and micro Services design, dev and deployement.

-         Strong knowledge in Data Services and Data Quality transformations is must.

-         Good data analysis experience using SAPRK, Spring boot, SQL, analyzing redundant and inconsistent data, diagramming data flows and process flows.

-         Proven skills to write technical specifications for data driven solution.

-         Process oriented and understanding of software development with best practices.

-         Good communication skills. Should be able to interact with business & IT teams.

Desirable to have experience in performing Master Data projects, such as standardizing, cleansing, merging, de-duping, determining survivorship rules, and harmonization

Very good knowledge on web/mobile dev code languages

Contraintes du poste/Conditions Spécifiques:

-      Support the B2B, CVM and data monetization business development and mentoring of functional team for optimize value.

-      Work on medium / high complexity tasks in one or more functional areas.

-      Work on one or more tasks / projects as a member of a team.

-      Design for the development of data driven solutions.

-      To be able to ensure the responsibility of a functional leader.

-      Organize and lead BigData workflow projects in the implementation and use of new BigData and KUBERNETES DOKERS tecchnologies.

-      Work on highly complex, interoperable and enterprise-class IT and data driven solutions.

Provide subject expertise for the core functions of data driven including B2B, CVM and  data monetization.

Conditions d'accès:

Diplômes & Formations :

Ingénieur   en   Informatique   ou   en   Electronique  ou en Telecom (BAC +5)

Expérience : 7 years in information systems (minimum 02 years BigData)

Compétences Spécifiques au Métier:

-      Kubernetess clustering technology

-      Docker technology

-      BIGDATA HADOOP/ HIVE /IMPALA/SCOOP/PIG

-      INFORMATICA/ SPARK

-      TERADATA, Oracle, Sybase, postgres, sqlserver DATABASE

-      Laguage de programmation : JAVA, Shell, C++, SQL, PowerShell

-      Linux, UNIX, Windows Server

 Langues :

Anglais : lu, écrit, parlé 

Arabe : lu, écrit, parlé 

Français : lu, écrit, parlé