Submitting more applications increases your chances of landing a job.
Here’s how busy the average job seeker was last month:
Opportunities viewed
Applications submitted
Keep exploring and applying to maximize your chances!
Looking for employers with a proven track record of hiring women?
Click here to explore opportunities now!You are invited to participate in a survey designed to help researchers understand how best to match workers to the types of jobs they are searching for
Would You Be Likely to Participate?
If selected, we will contact you via email with further instructions and details about your participation.
You will receive a $7 payout for answering the survey.
· Develop and manage end-to-end data models, views, and data flows within SAP Datasphere, ensuring optimal performance and scalability.
· Work across all core components of Datasphere such as Data Builder, Business Builder, Catalog, Spaces, and Connections.
· Build and maintain semantic models, fact/dimension tables, hierarchical structures, and analytical datasets.
· Perform detailed data analysis to validate data quality, identify discrepancies, and ensure accurate data transformations.
· Implement secure data access by configuring row-level and object-level security policies within Datasphere.
· Design, develop, and optimize data pipelines for ingestion, transformation, and harmonization of data from SAP and non-SAP systems.
· Collaborate with business stakeholders to gather requirements and translate them into robust data models and analytical layers.
· Integrate Datasphere with SAP HANA, BW/4HANA, S/4HANA, cloud sources, and third-party databases.
· Ensure adherence to data governance, metadata management, and security compliance.
Required Skills & Qualifications · Good knowledge of all aspects of SAP Datasphere, including data modelling, semantic modelling, data flows, spaces, and security.
· Proficient in data modelling, including star schema, snowflake schema, fact/dimension modelling, and semantic layer design.
· Proficient in data analysis with the ability to interpret data patterns, validate transformations, and troubleshoot inconsistencies.
· Strong experience implementing row-level and object-level security within SAP Datasphere.
· Good understanding of OLTP and OLAP systems, ETL workflows, and data warehousing principles.
· Solid hands-on experience with SAP HANA modelling, SQL scripting, and performance tuning.
· Proficient in SQL with the ability to create complex queries for validation and analysis.
· Experience integrating Datasphere with SAP and non-SAP systems using OData, JDBC, SDI/SDQ, or other connectors.
· Familiarity with data pipelines, data ingestion methods, and transformation frameworks.
· Knowledge of SAP BW, BW/4HANA, S/4HANA data structures is an advantage.
You'll no longer be considered for this role and your application will be removed from the employer's inbox.