Data Quality Engineer (AWS Data Platform)

Concentrix•Usa, TX

1d•Remote

About The Position

We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year. Join us and be part of this journey towards greater opportunities and brighter futures.

Requirements

Proven experience in data engineering testing / data QA / ETL validation
Strong hands-on experience with AWS data services (Redshift, Glue, DMS)
Proficiency in Python for test automation and validation
Experience with Airflow (Astronomer preferred) and orchestration testing
Hands-on experience with dbt and data transformation validation
Familiarity with Terraform for infrastructure validation
Experience in BI testing in Tableau will be highly beneficial
Experience with data quality tools such as Soda.io or similar
Strong understanding of: Data warehousing concepts, ETL/ELT pipelines, Data validation techniques (schema, reconciliation, anomaly detection)

Nice To Haves

Experience designing enterprise-level test strategies for data platforms
Knowledge of CI/CD pipelines for data and test automation
Experience working in Agile / Scrum environments
Familiarity with data observability frameworks

Responsibilities

Define the end-to-end testing scope based on solution architecture and project OPM documentation
Design and implement a comprehensive testing strategy and plan aligned with organizational QA standards
Develop and maintain test scripts and frameworks for the Redshift BI Foundations platform
Perform testing across key technologies, including: AWS Redshift, AWS DMS (Data Migration Service), AWS Glue, Terraform, Python-based data pipelines, Apache Airflow (via Astronomer managed interface), dbt (data build tool), Soda.io (data quality and observability)
Build and implement automated testing solutions to ensure: End-to-end data validation, Data ingestion accuracy, Transformation logic integrity, Data pipeline reliability
Conduct test coverage analysis and ensure adequate validation across all data engineering workflows
Prepare and manage test data
Review and provide feedback on: Solution architecture, Data models, Design and technical documentation
Collaborate with cross-functional teams (Data Engineering, BI, DevOps, Product) to: Identify testing impacts, Mitigate risks, Ensure high-quality deliverables