Data Architect for Merger of two Systems - 100% remote!

Nordrhein-Westfalen, Bonn  ‐ Remote
Dieses Projekt ist archiviert und leider nicht (mehr) aktiv.
Sie finden vakante Projekte hier in unserer Projektbörse.

Schlagworte

SAP etl Salesforce SAP MDG

Beschreibung

Situation:

- Company "A" ERP will be merged into Company "B" ERP system, including MDG (master data governance, system for customers and vendors)
- Company "A" will go live in some Company "B" non-SAP applications prior ERP integration

As Well:

- Business models in both companies are different (e. g. direct sales to end-user vs sales to end-user via distributor)
- Data models in both companies are different (e. g. product hierarchy, customer hierarchy/partners structure)
- Data quality issues in company being integrated (e. g. duplicationof records in customer master data)
- Data quality checks in place in receptor systems prior data migration. Conflicting with data quality issue in systems deing integrated
- Decisions in final data models are not yet finaldue to ongoing ERP integration , but go-live in other applications already happened
- Multiple projects running in parallel with no central governance (organizational and capacity issue)

Tasks:

- Priority one: to fix the SalesForce data issues
- Priority two: to support in the semi ERP merge

Must have experiences in:

- Data(base) modeling, cataloguing and lineage:

- Assess data requirements for different businesses
- Data modeling, technical and operational metadata, entity relationship (ER) and data flows within enterprise applications
- Analyze current data designs to optimize and provide structural improvements to handle business growth
- Define target data architecture for SalesForce and SAP solutions
- Document, formalize and share data architecture

Data transformation

- Define data merge strategies to combine data from 2 companies in one target database
- Foster automation to decrease manual effort and duplicity, increase data accuracy and standardize ETL techniques
- Define ETL pipelines and run data integration

Data Quality:

- Ensure data quality together with business
- Steer data cleansing

Problem solving competencies:

- Mediate between businesses to find best possible solution for opposing requirements
- Work on partly defined data structures

Majority of work can be done remotely. Case by case for onsite workshops (location not fix yet) - Travel expenses are paid separately.
Planed start: asap
Duration of engagement: 9 to 12 month
Start
10.2021
Dauer
10 Monate
(Verlängerung möglich)
Von
GULP Information Services GmbH
Eingestellt
16.09.2021
Ansprechpartner:
Alexander Christian Trimkowski
Projekt-ID:
2206957
Vertragsart
Freiberuflich
Einsatzart
100 % Remote
Um sich auf dieses Projekt zu bewerben müssen Sie sich einloggen.
Registrieren