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Bi application reporting engineer -telco h/f - douala, région du littoral, cm - apave international consulting

Non specifié Douala
Date limite de l'offre: dimanche 31 juillet 2022 00:00
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Description du poste

BI APPLICATION REPORTING ENGINEER -TELCO H/F – DOUALA, RÉGION DU LITTORAL, CM – APAVE INTERNATIONAL CONSULTING 

Publiée le: 19/7/2022

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RÉSUMÉ DE L’OFFRE

DESCRIPTION DE L’OFFRE

Référence :ING/0722/002718

Type de contrat : CDI

Métier/Spécialité : Informatique / Télécom / Internet

Localisation géographique :
Pays : Cameroun
Ville : Douala, Région du Littoral, CM

Notre société : 

Acteur majeur du recrutement en Afrique Centrale, Apave International vous propose chaque semaine de nombreuses opportunités de carrière au sein d’entreprises privées ou publiques et d’Institutions Internationales.

Mission : 

Mission: To design, develop and maintain Online Data Store, Realtime Data Processing and Data warehouse systems. To plan data management and data lifecycle process by understanding business/Group requirements and identifying and securing the data sources accordingly.

Tasks: 
• Develop extract/transform/load routines using either PL/SQL or Informatica PowerCenter performing.
• Perform testing of ETL and reports and migrating releases into testing and production environments.
• Develop data architecture (data definitions, data flows, identification of data sources and data consumers, business rules and transformations, and data models) for client engagements.
• Monitor scheduled jobs, review the results, document successes/failures/ troubleshoot failures.
• Execute level 2 maintenance work and tasks including problem determination and resolution for complex issues; system upgrades, rollouts, infrastructure deployment and upgrades, as well as root-cause analysis.
• Stay abreast of new technologies and trends in Data Warehousing.
• Perform data profiling and data quality audit.
• Establish a Data governance and performance framework.
• Create and manage long term roadmaps for data warehouse and ensure data are kept secure, and implement appropriate levels of security based on the sensitivity of the data and legal requirements.
• Optimize Oracle Exadata server to introduce high performance computing operations
• Evolve the role of the Enterprise Data Warehouse in the Era of Big Data Analytics.
• Participate in the incremental development of Mimir Program and integration into BiB framework.

Profil : 

Education

Minimum of First Degree in engineering or sciences, strong preference for software engineering or computer science

Work experience 

Minimum of 3 years’ experience in Data Warehouse design, ETL (Extraction,
Transformation & Load) tools;
Knowledge in Data Science, Understanding Realtime data ingestion, KAFKA engines.
architecting efficient software designs.
Experience in supervising others is an advantage
Experience working in a medium organization

Knowledge

Strong familiarity with data warehouse best practices.
Knowledge of database modeling and design in a data warehousing context
Knowledge of ‘Big Data’ Technologies and a desire to learn and transition to these
skills
KAFKA Engines
SAS data Mart

Oracle environment
Mediation concept
PL/SQL and SQL scripting
Project management
Solution design architecture
GSM network architecture

Niveau d’études : LICENCE / BAC+3

Spécialisation : Informatique / High Tech / Telecoms

Niveau d’expérience : Expérimenté (de 6 à 10 ans)

Langues : 
Français : Bonne pratique
Anglais : Bonne pratique

PROFIL REQUIS

Education

Minimum of First Degree in engineering or sciences, strong preference for software engineering or computer science

Work experience 

Minimum of 3 years’ experience in Data Warehouse design, ETL (Extraction,
Transformation & Load) tools;
Knowledge in Data Science, Understanding Realtime data ingestion, KAFKA engines.
architecting efficient software designs.
Experience in supervising others is an advantage
Experience working in a medium organization

Knowledge

Strong familiarity with data warehouse best practices.
Knowledge of database modeling and design in a data warehousing context
Knowledge of ‘Big Data’ Technologies and a desire to learn and transition to these
skills
KAFKA Engines
SAS data Mart

Oracle environment
Mediation concept
PL/SQL and SQL scripting
Project management
Solution design architecture
GSM network architecture

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