Sap Bw Hana Consultant

Tekskills; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Tekskills is seeking an experienced SAP BW/HANA specialist to own the end-to-end lifecycle across multiple waves, from discovery to steady-state transition. You will model data on HANA-optimized BW, develop native artifacts, and design robust integration and security patterns.

Responsibilities include performance engineering, transport management, and enabling reporting via SAC/Power BI. Strong governance, data quality, and cross-functional collaboration are required.

Qualifications

• Experience delivering end-to-end SAP BW/HANA projects.
• Strong knowledge of SLT/SDI/ODP and data movement.
• Familiarity with BW security and data governance.

Responsibilities

• Own End-to-End lifecycle across waves: discovery to steady-state.
• Data modeling on HANA-optimized BW using ADSOs, Open ODS Views, CompositeProviders, InfoObjects.
• Design and implement HANA-native artifacts such as Calculation Views and table functions.
• Integration design: SLT/SDA/SDI, ODP, CDS exposure, BAPI/RFC/BW extractors, flat files, APIs.
• Performance engineering: SQLScript optimization and pushdown to HANA.
• Authorizations and security: BW analysis authorizations, HANA privileges, data masking/PII handling.
• Transport management: CTS+/Charm, retrofit strategies across landscapes.
• Reporting & analytics enablement: BEx/Analysis for Office, SAC, Power BI connectors.
• Data quality & governance: profiling, cleansing, reconciliation, lineage.
• Cutover & hypercare: data loads, reconciliations, RCA, stabilization.

Skills

SAP BW on HANA

HANA modeling

Data integration design

Performance engineering

Security & compliance

Tools

Solution Manager/Charm

Jira/Azure DevOps

Git

ServiceNow

MS Office/Visio

Job description

Technical

• SAP BW on HANA / BW/4HANA:
  
  
  
  • ADSOs (all types), CompositeProviders, Open ODS Views, InfoObjects, Transformations, DTPs, Process Chains, AMDP routines, and FOX formulas (if relevant).
  
  
  • Query design: Variables, conditions, exceptions, structures, restricted/calculated key figures, currency/unit conversions.
  
  
  • HANA modeling: Calculation Views (DIM/CUBE), SQLScript, table functions, performance tracing (PlanViz), calculation engine behavior.
  
  
  
  


• Integration & Data Movement: SLT, ODP, SDA/SDI, SAP Data Services (BODS), ABAP extractors, CDS-based extraction, flat files/SFTP, and scheduling/orchestration.


• Performance & Operations: RSRT, ST05, RSRV, RSPC, RSPM, dumps/logs analysis, delta handling, data volume/partitioning strategies, housekeeping.


• Security/Compliance: Analysis authorizations, HANA privileges, compliance for sensitive data (GDPR/PII), auditability.


• Tooling: Solution Manager/Charm or equivalent ALM, Jira/Azure DevOps, Git (where applicable), ServiceNow (incidents/changes), MS Office/Visio.

Solutioning & Delivery

• Own E2E lifecycle across multiple waves: discovery, blueprinting, detailed design, build, test, cutover, hypercare, and steadystate transition.


• Data modeling on HANA-optimized BW: ADSOs, Open ODS Views, CompositeProviders, InfoObjects, BW Queries, and virtual models.


• HANA-native artifacts: Calculation Views (SQLScript/Graphical), table functions, procedures, hierarchies, variables, and performanceaware modeling (partitioning, pruning).


• Integration design: SLT/SDA/SDI, SAP Data Services, ODP (SAPI/ABAP CDS extractors), CDS Views exposure, BAPI/RFC/BW extractors, flat files, and APIs.


• Performance engineering: SQLScript optimization, pushdown to HANA, BW query performance analysis (RSRT), aggregates, compression, process chain optimization, parallelization.


• Authorizations & security: BW analysis authorizations (RSECADMIN), HANA privileges/analytic privileges, data masking/PII handling.


• Transport management: CTS+/Charm, retrofit strategies across multitrack landscapes.


• Reporting & analytics enablement: BEx/Analysis for Office, SAP Analytics Cloud (SAC), and integration with thirdparty BI (e.g., Power BI via HANA/BW connectors).


• Data quality & governance: Data profiling, cleansing, reconciliation, lineage, and documentation with functional ownership.


• Cutover & hypercare: Data loads, reconciliations, defect triage, root cause analysis (RCA), and stabilization.