Data Engineering

Il y a 6 mois


Paris, France Digistrat consulting Temps plein

? Contexte /Objectifs:
L'entité a pour charge la maintenance, le support et l'évolution de l'outil concernant le pilotage financier de la banque, des directions centrales et de la facturation interne du groupe.

Les outils sont basés sur les technologies Big Data pour le stockage, Talend et Spark/Scala pour les traitements, la suite MSBI SQL Server et cube SSAS pour l'analyse mutlidimensionnelle et enfin du Power BI pour la restitution.

Le Bénéficiaire souhaite mettre en ?uvre plusieurs évolutions de son socle technique.

A ce titre, le Bénéficiaire souhaite bénéficier de l'expertise du Prestataire en termes de Data Engineering.

Dans ce cadre la prestation consiste à contribuer à/au(x):

- La maintenance évolutive
- La conception et l'implémentation de nouvelles fonctionnalités
- La refonte technique
- La migration de Talend vers Spark/scala

Environnement anglophone

2 - Livrables attendus

Les livrables attendus sont:

- Optimisation des performances
- La livraison des evolutions
- La livraison des nouvelles fonctions demandées dans le cadre des projets.

3 - Expertise(s) / technologie(s)

Les expertises attendues pour réaliser cette prestation sont listées ci-après:
? Agile Scrum

? Compétences en développement (Shell unix, Perl, PHP, Python, git, github)

? Continuous Integration

? Git Hub

? Hadoop (Big Data)

? Hive

? Microsoft PowerBI

? Microsoft SQLServer Analysis services (Olap), Integration services, Reporting services

? Scala

? Scripting (GuitHub, Ansible, AWX, shell, vba)

? Spark

? SQL Server Database

? Talend (Data integration, Big Data)

4- Type de prestation

La prestation attendue est : Data Engineering


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