python (86697)

Technical Data Consultant

1-4 Yrs

Full Time Jobs

Market Rate

Düsseldorf, Germany


Special Requirement

  • Background in computer science, information technology or equivalent
  • Knowledge of Python, SQL – PowerBI, PowerBI, Power Automate/MS Flow
  • Knowledgeable in designing and implementing ETL processes
  • Experiences in data modelling / data warehousing
  • Excellence in Big data solutions including data modelling (structured/unstructured data; virtual data)
  • Analytical mind-set with potential of managing, communicating and selling solutions which cost effective and focused on business value. 
  • Fluent in English (speaking and written), German will be nice to have
  • You have experiences working in agile teams

Job Description:
  • Create a Consumption Data Analytics Platform that helps in encompassesing the full beauty of MS-Azure stack and futuristic technology (Azure Functions, Snowflake, Power Automate,  PowerBI) that includes the following tasks:
  • Analyse and automate/stabilize current ETL processes for End User consumption data
  • Perform (a) analysis, (b) suggestions for improvements and (c) implement changes based on suggestions
  • Develop ETL processes pertaining to all Cloud as well as External Labour related IT consumption data
  • Find out and implement ‘data driven’ solutions as per User story requirements in order to increase the transparency around our IT consumption, and create data insights.
  • Prepare an estimation of Cloud and External Labour costs for Application Owners
  • Define and implement ETL processes, data visualization and data model. 
  • Develop transparency regarding consumption details for Cloud for Application Owners
  • Identification, defination and implementation of solutions for informing Application Owners in case a major application starts showing an unusual cloud consumption (push notification, automated mailing, or other)
  • Defining and implementing solution in order to allow Application Owners to add a Forecast per application (for cloud & external labour)
  • Develop data interface to Service Now/EAM database in addition to mapping relevant data to IT consumption data
  • Identifying and implementing solution for allocating external labour costs to the individual applications
  • PO requisitioners should be informed when they have ordered external labour and calculate the respective costs for which the external labour is working for (e.g. via Web interface)
  • Consultation for definition and implementation of KPIs for optimization of expenses.
  • Execution of data load processes for existing reports by ingesting raw data reports to Consumption Data Analytics Platform

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