Data Warehouse Testing Lead

Infosys; Bengaluru; Sur place; INR 1 800 000 - 2 400 000; Plein temps

Résumé du poste

Infosys seeks a Quality Engineering Lead to guide testing across Data Warehouse and ETL ecosystems. You will define test strategies, lead a team of testers, validate data flows end-to-end, and mentor analysts while collaborating with data engineers, BI developers, and stakeholders.

You will design test plans, analyze SQL data, ensure data quality, and drive best practices in a large-scale enterprise DWH environment. This role demands leadership and strategic testing excellence.

Qualifications

• Must have BE degree or equivalent.

Responsabilités

• Lead end-to-end Data Warehouse Testing (DWT) initiatives across multiple projects.

Connaissances

Python

AWS Testing

DWT

ETL

TDM

PL/SQL

MDM

Bigdata

Formation

Bachelor of Engineering

Outils

Delphix

IBM Optim

Pentaho

Description du poste

Job DescriptionAs a Quality Engineering Lead in Data Warehouse Testing, you will be at the heart of ensuring that business-critical data is accurate, reliable, and ready for insight-driven decisions. You will lead testing efforts across complex DWH and ETL ecosystems, collaborating closely with data engineers, BI developers, and business stakeholders to validate data flows end-to-end. This role offers the opportunity to shape test strategies, introduce best practices, and mentor a team of testers while working on large-scale, enterprise-grade data platforms.If you enjoy solving data quality challenges, designing robust test frameworks, and driving continuous improvement in a collaborative environment, this position will allow you to make a visible impact on how data powers the organization's success.

Roles & Responsibilities

Lead end-to-end Data Warehouse Testing (DWT) initiatives across multiple projects, ensuring high data quality and integrity.

• Design, plan, and execute test strategies and test plans for data warehouse and ETL components based on business and technical requirements.
• Validate data mapping, data transformations, aggregations, and data movement from source to staging, DWH, and downstream systems.
• Develop and maintain comprehensive test cases, test scenarios, and test data sets for DWT and ETL testing.
• Perform functional, regression, system integration, and user acceptance support testing for data warehouse solutions.
• Analyze complex SQL queries and datasets to identify data discrepancies, defects, and root causes.
• Collaborate with ETL developers, data modelers, and business analysts to clarify requirements and resolve defects efficiently.
• Establish and enforce quality standards, best practices, and processes for data testing within the team.
• Provide technical leadership and mentoring to junior testers, guiding them on DWT and ETL testing techniques and tools.
• Prepare clear test reports, defect metrics, and quality dashboards for stakeholders and project leadership.
• Participate in design and code review discussions from a quality perspective, highlighting potential data quality risks.
• Coordinate with cross-functional teams to ensure timely test execution and alignment with project timelines and release plans.
• Position will be based on business requirements across locations.
• Technical RequirementPrimary skills:Cloud testing->AWS Testing,Data Services->DWT (Data Warehouse Testing)/ (ETL),Data Services->TDM (Test Data Management),Data Services->TDM (Test Data Management)->Delphix,Data Services->TDM (Test Data Management)->IBM Optim,Database->PL/SQL,Package testing->MDM,Python
• Desirables:Bigdata->Python
• Educational RequirementBachelor of Engineering
• Preferred SkillsTechnology->ETL & Data Quality->ETL - Others
• Generic SkillsTechnology->ETL & Data Quality->ETL & Data Quality - ALL->Pentaho - Pentaho ETL (Kettle)Service LineInfosys Quality Engineering