REMOTE Data Intelligence Engineer

Hessen, Frankfurt am Main  ‐ Remote
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Beschreibung

We are currently looking for a Data Intelligence Engineer to develop and implement a data model for a dashboard for recording and mapping the qualitative service provision. Within the project scope you will focus on preparation and calculation in Qlik Sense and the development a data model for billing the services provided with subsequent data preparation for the ERP system. Moreover, you will visualize the calculated results and construct a reporting system.

As a Data Engineer you are expected to implement the requirements for the data and data preparation in the Data Lake OneSource, and to manage these requirements together with the client. You will develop the data model conceptually, connect the data and build an automated loading track, along with the monitoring functions for automated loading processes. Further tasks would be to determine and process additionally required data from group-internal IT applications, processes and tools for displaying the values defined in key driver figures. You will be responsible for identifying data quality issues, create cleansing processes, and prepare the documentation.

Project details:

• Starting period: 01.08.2022
• Ending period: 31.12.2022 (possible extension)
• Working period: 110 days
• Full-time: 5 days/week
• Location: Remote/Frankfurt
• Languages: German

Technologies:

• SQL and dynamic PL/SQL, preferably Oracle
• Data visualization and/or reporting tools (e.g. Qlik, Tableau, SSRS) with certification
• Building ETL routes
• Python, Java or JavaScript with certification
• Requirements analysis
• Code management in a Git-based application
• Confluence, Jira or similar
• SCRUM
• Cloud environment (e.g. AWS)

Do you have someone in your network, who might be interested, we will be happy to work together!
Start
07.2022
Dauer
5 Monate
(Verlängerung möglich)
Von
Digital Associates GmbH
Eingestellt
08.07.2022
Ansprechpartner:
Militsa Kodjabasheva
Projekt-ID:
2421800
Vertragsart
Freiberuflich
Einsatzart
100 % Remote
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