About this opportunity
Incedo Inc. lists this Senior Quality Assurance Engineer opportunity in rock hill, South Carolina. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We
are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business
and technology across Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.
We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed,
and long-term impact.
Incedo delivers ROI from AI @ Scale through the “Power of 3”:
• Deep domain expertise
• AI & Data capabilities
• Engineering & Operations excellence.
Title:: Senior QA Engineer
Location :: Fort Mill, SC or Austin, TX
We are looking for a highly skilled Senior QA Engineer with 8–10 years of experience in Data Warehouse, ETL, and Cloud Data Platform testing. The ideal candidate should possess strong expertise in AWS, DBT, Snowflake, Python, Apache Airflow, and GitHub , with hands-on experience validating complex data pipelines, automating test frameworks, and ensuring data quality across enterprise-scale analytics platforms.
The candidate will collaborate with Data Engineers, Data Architects, DevOps teams, and Business Stakeholders to ensure data accuracy, reliability, and performance throughout the data lifecycle.
Key Responsibilities
Execute test plans, test cases, and test strategies for cloud-based data platforms.
Perform end-to-end testing of ETL/ELT data pipelines built using DBT, Snowflake, Airflow, and AWS services .
Validate data transformations, business rules, and data models within DBT.
Conduct source-to-target data validation, reconciliation, and data quality testing.
Automation frameworks using Python .
Test and validate Airflow DAGs, workflow dependencies, scheduling, and orchestration processes.
Perform backend and database testing using advanced SQL queries in Snowflake.
Collaborate with Data Engineering teams to ensure data integrity and completeness.
Integrate automated test suites into CI/CD pipelines using GitHub and GitHub Actions.
Identify, log, track, and verify defects through resolution.
Participate in Agile ceremonies including sprint planning, reviews, and retrospectives.
Generate test execution reports, quality metrics, and risk assessments.
Required Skills & Experience
Technical Skills
AWS Cloud
AWS S3
AWS Glue
Lambda
CloudWatch
Snowflake
DBT (Data Build Tool)
Apache Airflow
Python
Data warehouse testing
Data validation and reconciliation
Data migration testing
SQL optimization and validation
Data integrity and completeness checks
Testing DBT models
Validating transformations
DBT generic and custom tests
Data lineage understanding
Source-to-target validation
DAG testing
PyTest
Pandas
Data validation scripts
SQL
Advanced querying
Data reconciliation
Data profiling
Data quality validation
Performance validation
Required Testing Experience
ETL/ELT Testing
Data Warehouse Testing
Data Migration Testing
Data Validation Testing
Regression Testing
Functional Testing
Integration Testing
Automation Testing
End-to-End Testing
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.