
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

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