AWS Python ETL Data Quality Tester

Infosys; Tempe (AZ); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Plan

Paid Time Off

Job summary

Infosys is seeking a Tech Consultant in the U.S. to support ETL testing and data quality initiatives within the Financial Services unit. The role focuses on documenting requirements, designing robust data solutions, and validating data across platforms.

You will code, review, and integrate features while ensuring stability and quality across BI and data pipelines. Candidate will collaborate with business, development, and data engineering teams, handling production issues and delivering

Qualifications

• Experience in ETL testing and data validation across data warehouses.
• Strong Python scripting for automation in data pipelines.
• Proficient in SQL with validation across Oracle, SQL Server, BigQuery.
• Knowledge of cloud platforms (AWS/Azure/GCP) and data services.
• Familiarity with BI validation and data governance concepts.
• Ability to work across cross-functional teams and SDLC.

Responsibilities

• Document business requirements for assigned parts per guidance.
• Lead design discussions and document decisions for implementation.
• Code and integrate features while maintaining stability.
• Perform code reviews and manage code repositories.
• Plan test strategies, execute cases, and coordinate defects.
• Develop user training, documentation, and support guides.
• Resolve production issues and suggest preventive measures.
• Maintain thorough records of tests, SQL validations, and processes.

Skills

ETL Testing

Python ETL

Data Quality

SQL

Data Warehousing

Databricks

Automation Testing

Education

Bachelor's degree in Computer Science or related field

Tools

Informatica

SSIS

Azure Data Factory

DataStage

Autosys

Airflow

Ab Initio

Job description

Infosys is seeking a Tech Consultant in the U.S. to support ETL testing and data quality initiatives within the Financial Services unit. The role focuses on documenting requirements, designing robust data solutions, and validating data across platforms.

You will code, review, and integrate features while ensuring stability and quality across BI and data pipelines. Candidate will collaborate with business, development, and data engineering teams, handling production issues and delivering