Senior Python ETL & Data Quality Tester

Infosys; Raleigh (NC); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical/Dental/Vision Insurance

401(k) plan

Job summary

Infosys is seeking an experienced Technology Consultant 2 to lead ETL testing and data validation within our Financial Services unit in the United States. You will document requirements, guide design decisions, and integrate new features while maintaining system stability.

You will perform SQL/data warehouse validation, develop Python-based automation for ETL processes, and collaborate across business, development, and data engineering teams to ensure reliable data delivery.

Qualifications

• Experience in Data/ETL Testing and data validation across multiple RDBMS.
• Develop automation solutions using Python/Shell scripting for ETL and data validation activities.
• Experience with Data Warehousing concepts and data quality validations.
• Experience validating cloud-based data platforms such as AWS/Azure/Databricks/Snowflake.

Responsibilities

• Document business requirements and guide design decisions for software solutions.
• Participate in coding and integrate new features with focus on stability.
• Conduct code reviews and maintain repositories.
• Implement test strategies, execute test cases, and coordinate defect resolution.
• Develop training materials and support frameworks for new software.
• Resolve production issues and suggest preventive measures.

Skills

Data/ETL Testing

Python ETL testing

SQL/DB validation

ETL tooling

Data Warehousing concepts

Cloud data platforms

Batch job validation/Automation

Education

Bachelor's degree

Tools

Informatica

Ab Initio

ODI

SSIS

DataStage

Azure Data Factory

Databricks

Job description

Infosys is seeking an experienced Technology Consultant 2 to lead ETL testing and data validation within our Financial Services unit in the United States. You will document requirements, guide design decisions, and integrate new features while maintaining system stability.

You will perform SQL/data warehouse validation, develop Python-based automation for ETL processes, and collaborate across business, development, and data engineering teams to ensure reliable data delivery.