SAP Analytics & HANA Platform Engineer
Ekloud, Inc. · Delhi · onsite · Posted 68d ago
Not disclosed8–10 yrsfulltimeSourced from
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About this role
Job Title -SAP Analytics & HANA Platform Engineering
Experience Required - 8+ Years
Timezone - 4:30 PM – 1:30 AM IST (aligned to client time zone)
Profile: SAP Analytics & HANA Platform Engineer with deep expertise in ABAP-Managed Database Procedures
**Primary Focus: ** Architecting and building an enterprise data warehouse on HANA appliance
**Experience: ** 8-10+ years in SAP analytics and HANA environments
WHAT YOU WILL BUILD
The engagement centres on designing and delivering a high-performance enterprise data warehouse on an appliance-based HANA platform. Your output will power analytics and reporting across the business:
▸An EDW platform with HANA push-down modelling at its core, eliminating application-layer bottlenecks.
▸High-throughput data pipelines that bring together data from multiple SAP source modules.
▸A harmonised semantic layer consumed by enterprise reporting tools including BOBJ, Power BI, and Tableau.
▸Extraction frameworks leveraging ODP, BW extractors, and CDC patterns with reliable delta handling.
▸ABAP-Managed Database Procedures (AMDPs) built for production performance and maintainability.
TECHNICAL CAPABILITY REQUIRED
HANA Platform & AMDP Engineering
▸ Proven depth in SAP BW on HANA environments (BW 7.4/7.5 or native BW on HANA) using Eclipse BW Modeling Tools.
▸ Expert-level SQLScript: table functions, class-based AMDP architecture, CE functions, exception handling, and push-down strategy.
▸ Performance tuning across partitioning, column-store pruning, join type selection, and calculation view optimisation.
▸ HANA SQL privilege management alongside BW analysis authorisations.
BW Object Design
▸ Advanced Data Store Object (ADSO) design covering write-optimised, standard, and direct-update scenarios.
▸ Transformations and Routines (Start, End, Expert), including formula and ABAP-based logic.
▸ Data Transfer Process configuration, error handling, and scheduling strategies.
▸ Composite Providers, Open ODS Views, and InfoObject modelling for semantic layer construction.
Data Extraction & Pipeline Patterns
▸ Operational Data Provisioning (ODP) via SAPI, CDS Views, and SLT-based replication.
▸ Standard BW extractors across Finance (FI/CO), Sales (SD), Procurement (MM), and Production (PP/PM/CS) modules.
▸ Delta mechanisms: generic delta, timestamp-based extraction, and Change Data Capture patterns.
Query Design & Reporting Layer
▸ Building performance-tuned BW queries for multi-tool consumption across SAP BOBJ, Tableau, and Power BI.
▸ Semantic model design that abstracts complexity and accelerates self-service analytics.
SAP BUSINESS PROCESS KNOWLEDGE
Solid fluency in the data models and flows underpinning the following business processes is expected:
● Order-to-Cash (SD)
● Plant Maintenance & Service (PM / CS / SM)
● Procure-to-Pay (MM)
● Currency translation & pricing conditions
● Record-to-Report (FI / CO)
● Partner functions & stock / non-cumulative logic
● Manufacturing / Production (PP)
● GR/IR clearing & profitability modelling
COLLABORATION & COMMUNICATION
▸Comfortable working with globally distributed business and technical stakeholders.
▸Able to translate ambiguous business requirements into precise, defensible data architecture decisions.
▸Produces clear documentation: technical specs, data lineage notes, and solution design records.
▸Experienced in agile delivery environments with sprint-based planning and iterative rollout.
Experience Required - 8+ Years
Timezone - 4:30 PM – 1:30 AM IST (aligned to client time zone)
Profile: SAP Analytics & HANA Platform Engineer with deep expertise in ABAP-Managed Database Procedures
**Primary Focus: ** Architecting and building an enterprise data warehouse on HANA appliance
**Experience: ** 8-10+ years in SAP analytics and HANA environments
WHAT YOU WILL BUILD
The engagement centres on designing and delivering a high-performance enterprise data warehouse on an appliance-based HANA platform. Your output will power analytics and reporting across the business:
▸An EDW platform with HANA push-down modelling at its core, eliminating application-layer bottlenecks.
▸High-throughput data pipelines that bring together data from multiple SAP source modules.
▸A harmonised semantic layer consumed by enterprise reporting tools including BOBJ, Power BI, and Tableau.
▸Extraction frameworks leveraging ODP, BW extractors, and CDC patterns with reliable delta handling.
▸ABAP-Managed Database Procedures (AMDPs) built for production performance and maintainability.
TECHNICAL CAPABILITY REQUIRED
HANA Platform & AMDP Engineering
▸ Proven depth in SAP BW on HANA environments (BW 7.4/7.5 or native BW on HANA) using Eclipse BW Modeling Tools.
▸ Expert-level SQLScript: table functions, class-based AMDP architecture, CE functions, exception handling, and push-down strategy.
▸ Performance tuning across partitioning, column-store pruning, join type selection, and calculation view optimisation.
▸ HANA SQL privilege management alongside BW analysis authorisations.
BW Object Design
▸ Advanced Data Store Object (ADSO) design covering write-optimised, standard, and direct-update scenarios.
▸ Transformations and Routines (Start, End, Expert), including formula and ABAP-based logic.
▸ Data Transfer Process configuration, error handling, and scheduling strategies.
▸ Composite Providers, Open ODS Views, and InfoObject modelling for semantic layer construction.
Data Extraction & Pipeline Patterns
▸ Operational Data Provisioning (ODP) via SAPI, CDS Views, and SLT-based replication.
▸ Standard BW extractors across Finance (FI/CO), Sales (SD), Procurement (MM), and Production (PP/PM/CS) modules.
▸ Delta mechanisms: generic delta, timestamp-based extraction, and Change Data Capture patterns.
Query Design & Reporting Layer
▸ Building performance-tuned BW queries for multi-tool consumption across SAP BOBJ, Tableau, and Power BI.
▸ Semantic model design that abstracts complexity and accelerates self-service analytics.
SAP BUSINESS PROCESS KNOWLEDGE
Solid fluency in the data models and flows underpinning the following business processes is expected:
● Order-to-Cash (SD)
● Plant Maintenance & Service (PM / CS / SM)
● Procure-to-Pay (MM)
● Currency translation & pricing conditions
● Record-to-Report (FI / CO)
● Partner functions & stock / non-cumulative logic
● Manufacturing / Production (PP)
● GR/IR clearing & profitability modelling
COLLABORATION & COMMUNICATION
▸Comfortable working with globally distributed business and technical stakeholders.
▸Able to translate ambiguous business requirements into precise, defensible data architecture decisions.
▸Produces clear documentation: technical specs, data lineage notes, and solution design records.
▸Experienced in agile delivery environments with sprint-based planning and iterative rollout.
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Skills
Operational Data ProvisioningBuilding performance-tuned BW queriesData Transfer Process configurationHANA SQL privilege managementStandard BW extractorsTransformations and RoutinesPerformance TuningBw On HanaDelta mechanismsSQLScriptComposite ProvidersSemantic Model DesignHANA platformABAP Managed Database ProceduresEclipse BW Modeling Tools