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Our client, is a multi-specialty tertiary care hospital and is looking to engage with an experienced Data Engineer with SAP and HANA capability to support rapid development of priority business and operational dashboards on the existing data stack
Key Responsibilities:
1.Understanding the existing SAP / HANA reporting landscape and available data
sources.
2. Data Modelling: Design, develop, and maintain complex Calculation Views (Graphical &
Script-based), Analytic Views, and Attribute Views.
3. Scripting: Write complex Stored Procedures, Table Functions, and SQL scripts using
SQL Script in SAP HANA Studio.
4. Performance Optimization: Analyse and tune SQL queries and data models for maximum
performance.
5. ETL/Data Provisioning: Implement Data Services or SDI (Smart Data Integration) for
data provisioning from source systems.
6. S/4HANA Development: Utilize Core Data Services (CDS) views and OData services to
build virtual data models.
7. Collaboration: Work with SAP functional analysts to translate business requirements into
technical specs.
8. Support & Documentation: Perform testing, defect resolution, and create detailed
technical documentation.
• 5–8 years of experience in SAP / HANA / SQL-based data engineering or reporting.• Strong expertise in SAP HANA data modelling, including calculation views, SQLScript, stored procedures, and HANA Studio functionalities.
• Hands-on experience with S/4HANA, BW/4HANA, SAP HANA Native development, and advanced SQL for complex data engineering and reporting solutions.
• Skilled in data extraction, transformation, reconciliation, aggregations, performance tuning, and building reporting-ready datasets for business intelligence.
• Experience working with IDT, SLT, HANA SDA, Tableau, and Power BI to support enterprise reporting and dashboard development.
• Strong understanding of master and transactional data, revenue logic, billing workflows, department and payer mapping, and operational reporting processes.
• Exposure to healthcare, hospital, finance, billing, and operations data environments, including HIS/EMR and SAP IS-H workflows.
• Proven capability in backend data logic development across end-to-end reporting/dashboard projects with strong debugging and issue-resolution skills.
• Knowledge of data lineage documentation, business rules, data privacy practices, and awareness of Databricks/data lakehouse concepts.
A multi-Speciality tertiary care hospital.
Professional Services - Data Analytics, Professional Services - Consulting
5+ years
1
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7+ years
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