ETL Test Lead

Infosys; Hyderabad; On-site; INR 900,000 - 1,350,000; Full time

Job summary

Infosys in Hyderabad seeks a skilled Data Warehouse Tester to perform end-to-end testing of ETL workflows and data pipelines. You will validate mappings, develop test scenarios, and ensure data accuracy across migrations and integrations.

The role requires strong SQL, data quality understanding, and collaboration with data engineers and analysts in an Agile environment. Hyderabad location with Infosys Quality Engineering service line.

Qualifications

• Educational requirements include MCA, MSc, MTech or engineering degrees.
• Experience with data services testing and data warehouse testing is preferred.
• Knowledge of ETL and data quality concepts is required.
• Strong SQL and data reconciliation skills are expected.

Responsibilities

• Perform end-to-end testing of ETL workflows, data pipelines, and data warehouse solutions.
• Validate source-to-target data mappings and transformation logic.
• Develop and execute ETL test cases, test plans, and test scenarios.
• Perform data reconciliation and data quality validation.
• Validate data migration, data integration, and data conversion processes.
• Execute functional, integration, regression, and system testing for data applications.
• Identify, analyze, and report data defects and inconsistencies.
• Write and execute complex SQL queries for backend data validation.
• Collaborate with Data Engineers, Business Analysts, and Development teams to ensure data accuracy.
• Generate test reports and quality metrics for stakeholders.
• Participate in Agile/Scrum ceremonies and contribute to continuous improvement initiatives.

Skills

Data Warehouse Testing

ETL Testing

Education

MCA

MSc

MTech

BEng

BCA

BSc

BTech

Job description

Roles & Responsibilities

• Perform end-to-end testing of ETL workflows, data pipelines, and data warehouse solutions.
• Validate source-to-target data mappings and transformation logic.
• Develop and execute ETL test cases, test plans, and test scenarios.
• Perform data reconciliation and data quality validation.
• Validate data migration, data integration, and data conversion processes.
• Execute functional, integration, regression, and system testing for data applications.
• Identify, analyze, and report data defects and inconsistencies.
• Write and execute complex SQL queries for backend data validation.
• Collaborate with Data Engineers, Business Analysts, and Development teams to ensure data accuracy.
• Generate test reports and quality metrics for stakeholders.
• Participate in Agile/Scrum ceremonies and contribute to continuous improvement initiatives.

Technical Requirement

• Primary skills:Technology->Data Services Testing->Data Warehouse Testing,Technology->ETL & Data Quality->ETL - Others
  Educational RequirementMCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
  Preferred SkillsTechnology->Data Services Testing->Data Warehouse Testing,Technology->ETL & Data Quality->ETL - Others
  Service LineInfosys Quality Engineering