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Job Summary:
We are looking for experienced SAP BW Consultants with a minimum of 5 years of relevant experience to support BW landscape analysis, dependency mapping, complexity assessment, and effort estimation activities. The ideal candidate should possess strong expertise in SAP BW architecture, data modeling, reporting structures, and end-to-end data flow analysis.
Key Responsibilities:
• Analyze and review SAP BW objects including DSOs, Advanced DSOs, InfoCubes, InfoObjects, PSA, Transformations, Data Transfer Processes (DTPs), InfoSets, CompositeProviders, MultiProviders, Views, BEx Queries, and Process Chains.
• Validate scope inventory and assess the completeness and accuracy of BW components.
• Map high-level Source → BW → Reporting data flows and document dependencies.
• Identify technical gaps, inconsistencies, and optimization opportunities within the BW environment.
• Perform dataset dependency analysis and support impact assessment activities.
• Contribute to complexity scoring and provide inputs for effort estimation.
• Collaborate with business stakeholders, functional teams, and technical teams to gather and validate requirements.
• Prepare technical documentation, assessment reports, and findings.
Required Skills:
• Minimum 5 years of hands-on experience in SAP BW/BI.
• Strong knowledge of SAP BW architecture, data modeling, and reporting frameworks.
• Experience working with InfoProviders, Transformations, DTPs, Process Chains, and BEx reporting.
• Ability to analyze end-to-end data flows and dependencies.
• Strong analytical, troubleshooting, and documentation skills.
• Experience in system assessment, migration, upgrade, or transformation projects will be an added advantage.
• Excellent communication and stakeholder management skills.
Preferred:
• Experience with SAP BW on HANA.
• Exposure to SAP Analytics, reporting tools, or data migration projects.
• Ability to work independently in a fast-paced environment.
Review Criteria
- Strong Data / ETL Test Engineer
- 5+ years of overall experience in Testing/QA
- 3+ years of hands-on end-to-end data testing/ETL testing experience, covering data extraction, transformation, loading validation, reconciliation, working across BI / Analytics / Data Warehouse / e-Governance platforms
- Must have strong understanding and hands-on exposure to Data Warehouse concepts and processes, including fact & dimension tables, data models, data flows, aggregations, and historical data handling.
- Must have experience in Data Migration Testing, including validation of completeness, correctness, reconciliation, and post-migration verification from legacy platforms to upgraded/cloud-based data platforms.
- Must have independently handled test strategy, test planning, test case design, execution, defect management, and regression cycles for ETL and BI testing
- Hands-on experience with ETL tools and SQL-based data validation is mandatory (Working knowledge or hands-on exposure to Redshift and/or Qlik will be considered sufficient)
- Must hold a Bachelor’s degree B.E./B.Tech else should have master's in M.Tech/MCA/M.Sc/MS
- Must demonstrate strong verbal and written communication skills, with the ability to work closely with business stakeholders, data teams, and QA leadership
- Mandatory Location: Candidate must be based within Delhi NCR (100 km radius)
Preferred
- Relevant certifications such as ISTQB or Data Analytics / BI certifications (Power BI, Snowflake, AWS, etc.)
Job Specific Criteria
- CV Attachment is mandatory
- Do you have experience working on Government projects/companies, mention brief about project?
- Do you have experience working on enterprise projects/companies, mention brief about project?
- Please mention the names of 2 key projects you have worked on related to Data Warehouse / ETL / BI testing?
- Do you hold any ISTQB or Data / BI certifications (Power BI, Snowflake, AWS, etc.)?
- Do you have exposure to BI tools such as Qlik?
- Are you willing to relocate to Delhi and why (if not from Delhi)?
- Are you available for a face-to-face round?
Role & Responsibilities
- 5 years’ experience in Data Testing across BI Analytics platforms with at least 2 largescale enterprise Data Warehouse Analytics eGovernance programs
- Proficiency in ETL Data Warehouse and BI report dashboard validation including test planning data reconciliation acceptance criteria definition defect triage and regression cycle management for BI landscapes
- Proficient in analyzing business requirements and data mapping specifications BRDs Data Models Source to Target Mappings User Stories Reports Dashboards to define comprehensive test scenarios and test cases
- Ability to review high level and low-level data models ETL workflows API specifications and business logic implementations to design test strategies ensuring accuracy consistency and performance of data pipelines
- Ability to test and validate the migrated data from old platform to an upgraded platform and ensure the completeness and correctness of migration
- Experience of conducting test of migrated data and defining test scenarios and test cases for the same
- Experience with BI tools like Qlik ETL platforms Data Lake platforms Redshift to support end to end validation
- Exposure to Data Quality Metadata Management and Data Governance frameworks ensuring KPIs metrics and dashboards align with business expectations
Ideal Candidate
- 5 years’ experience in Data Testing across BI Analytics platforms with at least 2 largescale enterprise Data Warehouse Analytics eGovernance programs
- Proficiency in ETL Data Warehouse and BI report dashboard validation including test planning data reconciliation acceptance criteria definition defect triage and regression cycle management for BI landscapes
- Proficient in analyzing business requirements and data mapping specifications BRDs Data Models Source to Target Mappings User Stories Reports Dashboards to define comprehensive test scenarios and test cases
- Ability to review high level and low-level data models ETL workflows API specifications and business logic implementations to design test strategies ensuring accuracy consistency and performance of data pipelines
- Ability to test and validate the migrated data from old platform to an upgraded platform and ensure the completeness and correctness of migration
- Experience of conducting test of migrated data and defining test scenarios and test cases for the same
- Experience with BI tools like Qlik ETL platforms Data Lake platforms Redshift to support end to end validation
- Exposure to Data Quality Metadata Management and Data Governance frameworks ensuring KPIs metrics and dashboards align with business expectations


