Job Title: Senior QA Engineer (Manual Testing + Database/Data Warehouse Testing)

Experience: 4 to 9 Years

Domain: Payment

Role Overview

We are seeking a Senior QA Engineer with 4–9 years of experience in Manual, Database, and DWH/ETL testing for the Payment domain. The role requires strong SQL skills, data validation expertise, and hands-on experience in functional testing, data reconciliation, defect management, and Agile delivery.

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Key Responsibilities

Functional & Manual Testing

· Analyze requirements and prepare test scenarios, test cases, and test plans.

· Execute functional, integration, regression, system, and end-to-end testing.

· Validate business workflows, log defects, track fixes, and support closure.

· Collaborate with BAs, developers, product owners, and stakeholders in Agile delivery.

Database Testing

· Perform backend data validation using SQL queries, joins, subqueries, and scripts.

· Validate data accuracy, integrity, completeness, mappings, stored procedures, views, and functions.

· Perform source-to-target reconciliation and identify data anomalies for resolution.

Data Warehouse & ETL Testing

· Test ETL workflows, data migration, transformation rules, and source-to-target mappings.

· Validate facts, dimensions, data models, data quality, and reporting/BI data accuracy.

· Analyze large datasets and support root cause analysis for data discrepancies.

Process & Quality Management

· Participate in Agile ceremonies, provide estimates, and share regular status updates.

· Review test artifacts, mentor junior testers, and support process improvements.

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Mandatory Skills

· 4–9 years of experience in Manual Testing, Database Testing, and DWH/ETL Testing.

· Strong SQL skills including joins, subqueries, Views, and data validation scripts.

· Good understanding of data models, data marts, fact tables, and dimension tables.

· Experience with Jira, or similar defect management tools.

· Strong knowledge of SDLC, STLC, QA methodologies, and Agile/Scrum practices.

· Excellent analytical, troubleshooting, and communication skills.

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Nice To Have

· Exposure to ETL tools such as Informatica, or similar tool.

· Experience with Azure Data Factory, Snowflake, Databricks, BigQuery, Power BI, or Tableau.

· Exposure to automation testing, scripting, UAT support, and stakeholder management.

Job Title: Senior QA Engineer (Manual Testing + Database/Data Warehouse Testing)

Experience: 4 to 9 Years

Domain: Payment

Role Overview

We are seeking a Senior QA Engineer with 4–9 years of experience in Manual, Database, and DWH/ETL testing for the Payment domain. The role requires strong SQL skills, data validation expertise, and hands-on experience in functional testing, data reconciliation, defect management, and Agile delivery.

---

Key Responsibilities

Functional & Manual Testing

· Analyze requirements and prepare test scenarios, test cases, and test plans.

· Execute functional, integration, regression, system, and end-to-end testing.

· Validate business workflows, log defects, track fixes, and support closure.

· Collaborate with BAs, developers, product owners, and stakeholders in Agile delivery.

Database Testing

· Perform backend data validation using SQL queries, joins, subqueries, and scripts.

· Validate data accuracy, integrity, completeness, mappings, stored procedures, views, and functions.

· Perform source-to-target reconciliation and identify data anomalies for resolution.

Data Warehouse & ETL Testing

· Test ETL workflows, data migration, transformation rules, and source-to-target mappings.

· Validate facts, dimensions, data models, data quality, and reporting/BI data accuracy.

· Analyze large datasets and support root cause analysis for data discrepancies.

Process & Quality Management

· Participate in Agile ceremonies, provide estimates, and share regular status updates.

· Review test artifacts, mentor junior testers, and support process improvements.

---

Mandatory Skills

· 4–9 years of experience in Manual Testing, Database Testing, and DWH/ETL Testing.

· Strong SQL skills including joins, subqueries, Views, and data validation scripts.

· Good understanding of data models, data marts, fact tables, and dimension tables.

· Experience with Jira, or similar defect management tools.

· Strong knowledge of SDLC, STLC, QA methodologies, and Agile/Scrum practices.

· Excellent analytical, troubleshooting, and communication skills.

---

Nice To Have

· Exposure to ETL tools such as Informatica, or similar tool.

· Experience with Azure Data Factory, Snowflake, Databricks, BigQuery, Power BI, or Tableau.

· Exposure to automation testing, scripting, UAT support, and stakeholder management.