JOB Description:
Role:Sr Quality Engineer- ETL
The Quality Engineer (QE) will play a key role in establishing a scalable automation-driven QA framework across Data Intelligence initiatives. This role focuses on improving data quality automation test efficiency and release confidence for Azure-based platforms including Databricks Power BI and Azure Functions.
The QE will enable a shift-left testing approach integrating QA early into the development lifecycle to ensure data integrity system reliability and continuous delivery alignment within a cloud-first environment. This is a hands-on engineering role for an experienced QE with deep data testing expertise strong automation skills and proven experience integrating QA into CI/CD pipelines. The resource will partner with Data Engineering Analytics and Development teams to deliver measurable improvements in quality automation coverage and defect prevention.
Key Deliverables
Automated Test Framework Development: Design and implement reusable scalable automation frameworks covering ETL pipelines APIs UI and back-end data systems using Selenium and related tools.
End-to-End Test Coverage: Provide comprehensive manual and automated test coverage across Dev QA and Production environments ensuring validation of all data processing and reporting layers.
Requirements
Soft Skills & Attributes
Strong analytical documentation and communication skills.
Detail-oriented and highly organized with an automation-first mindset.
Proactive self-driven and capable of operating independently in a fast-paced environment.
Committed to continuous improvement and measurable quality outcomes.
Required Skills:
Golang Kubernetes Cloud (AWS/Azure/GCP) Linux Microservices
JOB Description:Role:Sr Quality Engineer- ETLThe Quality Engineer (QE) will play a key role in establishing a scalable automation-driven QA framework across Data Intelligence initiatives. This role focuses on improving data quality automation test efficiency and release confidence for Azure-based pl...
JOB Description:
Role:Sr Quality Engineer- ETL
The Quality Engineer (QE) will play a key role in establishing a scalable automation-driven QA framework across Data Intelligence initiatives. This role focuses on improving data quality automation test efficiency and release confidence for Azure-based platforms including Databricks Power BI and Azure Functions.
The QE will enable a shift-left testing approach integrating QA early into the development lifecycle to ensure data integrity system reliability and continuous delivery alignment within a cloud-first environment. This is a hands-on engineering role for an experienced QE with deep data testing expertise strong automation skills and proven experience integrating QA into CI/CD pipelines. The resource will partner with Data Engineering Analytics and Development teams to deliver measurable improvements in quality automation coverage and defect prevention.
Key Deliverables
Automated Test Framework Development: Design and implement reusable scalable automation frameworks covering ETL pipelines APIs UI and back-end data systems using Selenium and related tools.
End-to-End Test Coverage: Provide comprehensive manual and automated test coverage across Dev QA and Production environments ensuring validation of all data processing and reporting layers.
Requirements
Soft Skills & Attributes
Strong analytical documentation and communication skills.
Detail-oriented and highly organized with an automation-first mindset.
Proactive self-driven and capable of operating independently in a fast-paced environment.
Committed to continuous improvement and measurable quality outcomes.
Required Skills:
Golang Kubernetes Cloud (AWS/Azure/GCP) Linux Microservices
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