Senior Developer- SAP Datasphere

Overview

On Site
$40 - $70
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

SAP
SAP HANA
SAP BI
SQL
Python
Migration
Microsoft Power BI
ELT
Visualization
Data Modeling
Analytics
BW HANA
Datasphere

Job Details

SAP Datasphere

Role: Contract [5 days a week working from office]

Location: Calgary (Preference) or willing to move to Calgary

Job Description:

We are looking for a Senior Developer - Data and Analytics to join our team and implement SAP Datasphere platform. This role will be tasked with migrating SAP BW to SAP , develop and maintain models in Datasphere and build report using Power bi & SAP Analytics Cloud.

  • WHAT YOU'LL BE DOING Design, implement, and maintain complex: data models, data schema, and structures in Datasphere to meet business requirements
    Create complex views and ETL/ELT transformations using: the Datasphere graphical interface, SQL, Python, and scripting capabilities
    Provide end-to-end expertise in Datasphere to support the delivery of business requirements in SAP Analytics Cloud (visualization front-end) and other reporting platforms, in North America, that will connect to Datasphere
    Serve as the SME for the Datasphere platform to proactively identify potential issues, solutions, and improvements to keep business processes running as smoothly and seamlessly as possible Gain an in-depth understanding of data sources feeding into Datasphere (SAP ERPs and other systems) to decide on the appropriate joins and relationships and create data models, based on these data sources to meet business requirements (primarily in the SAP Analytics Cloud visualization tool).
    Proactively suggest improvements to existing data models and transformations already developed in Datasphere
    Ensure that all data assets developed in Datasphere are developed with performance, scalability, and accuracy in mind (handling millions/billions of records across various source tables).
    Collaborate with IT to ensure proper lifecycle management of newly developed and existing assets in Datasphere
    Monitor data performance and remediate issues with query and data processing performance as necessary to achieve quick and efficient response times in data models
    Stay up to date on changes and updates in the SAP Datasphere software via: following the SAP Product Roadmap and attending trainings, seminars, and other offerings by SAP as necessary.
    Maintain an understanding on Key Performance Indicators (KPIs) and other key company metrics to be sure that data models and data assets developed in Datasphere align with business requirements
    Other duties as assigned.
    relationships with other jobs
    Collaborate with SAP Analytics Cloud Administrators/Developers and IT to understand and deliver data modeling requirements in Datasphere
    Collaborate with IT, Finance, and Commercial teams to understand the diverse needs of the organization and context behind the requested data models, data assets, and related calculations in Datasphere

    Education:
    Bachelor's degree or years of equivalent experience
    Required Work Experience:
  • 8 + years of experience in SAP BW
  • 2-3 years experience in Data sphere
  • 3-5 years experience in SAP Analytics cloud
    Required Training/Certifications:
  • Certifications in SAP Datasphere ,SAP BW,SAP Analytics Cloud, , SQL, or Python are a plus

    Required Computer and Software Skills:
  • Experience in any number of the following tools (understanding that Datasphere ,SAP BW and SAP Analytics Cloud are the tools that our team actively uses).
    SAP BW
  • SAP Datasphere
  • SAP Analytics Cloud (SAC), D
  • SAP HANA


Additional Requirements:
Highly visible senior role that requires independence and ability to make decisions using one s own expertise
Strong knowledge of BI, Data Warehousing, and related best practices including knowledge of: SQL, Python, ETL/ELT, scripting, and other coding languages commonly used by BI/Data professionals.
Experience in working with Datasphere ,BW HANA, third party data sources, or other data warehousing platforms.
Understanding of data governance, data privacy, legal, and other principles surrounding data.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Showman Staffing