Live opening · Posted 6 days ago
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SAP S/4HANA BDC
Experience:8-10 years
Budget:150 LPM
Remote
Contract:6 months
Shift:2-11 pm
Design and implement SAP Datasphere and SAP Business Data Cloud solutions.
Integrate SAP S/4HANA, BW/BW4HANA, SuccessFactors, Ariba, and non-SAP data sources.
Develop and maintain data models, analytical models, and semantic layers.
Build data products and reusable business data assets.
Configure data replication, virtualization, federation, and integration processes.
Develop and optimize data flows, transformations, and ETL/ELT pipelines.
Collaborate with business users to gather reporting and analytics requirements.
Support SAP Analytics Cloud (SAC) reporting and dashboard initiatives.
Implement data governance, security, and data quality best practices.
Optimize performance for large-scale enterprise data environments.
Participate in S/4HANA transformation and modernization projects.
Document technical designs, architecture, and implementation standards.
Required Skills:
5+ years of SAP Data & Analytics experience.
Strong experience with SAP S/4HANA data structures and CDS Views.
Hands-on experience with SAP Datasphere.
Experience with SAP Business Data Cloud (BDC).
Knowledge of SAP BW/4HANA or SAP BW.
Expertise in data modeling, data warehousing, and semantic modeling.
Experience with SAP HANA SQL and data integration technologies.
Understanding of SAP Analytics Cloud (SAC).
Knowledge of data governance and master data concepts.
Strong analytical and problem-solving skills.
Experience in Data Bricks and BW infocube migration project.
Preferred Qualifications:
Experience with SAP Databricks integration and AI/ML use cases.
Experience integrating SAP and non-SAP cloud platforms.
Knowledge of SAP BTP services.
Familiarity with data products, data fabric, and knowledge graph concepts.
SAP Datasphere, SAP HANA, or SAP Analytics Cloud certifications.
Experience in Finance, Supply Chain, Manufacturing, Retail, or Healthcare domains.
Nice to Have:
SAP S/4HANA migration project experience.
ABAP CDS View knowledge.
Python, SQL, or cloud data engineering experience.
Experience with Snowflake, Azure, AWS, or Google Cloud.
Exposure to enterprise AI and advanced analytics initiatives
Work arrangement
Yes
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