QA Engineer – MLOps / Data Pipelines (Azure Platform) @ Princeton, NJ. (Locals needed)

QA Engineer MLOps / Data Pipelines (Azure Platform)

Princeton, NJ.

Onsite role Locals needed

Role Overview :

We are looking for an experienced QA Engineer to be a critical part of our MLOps and data engineering team. You will be responsible for testing and validating our end-to-end machine learning workflows, data pipelines, and integration between various components on the Azure platform, including Azure Databricks, ADF, WebApp, ETL processes, and other critical components in the MLOps pipeline. Data and ML validation / testing needs to be automated. You will ensure that our data solutions are stable, reliable, and meet both functional and non-functional requirements.

Key Responsibilities :

• End-to-End Testing : Design, develop, and execute test cases for the complete MLOps pipeline, including data ingestion, ETL processes, machine learning model deployment, and monitoring of web applications.
• Test Automation : Work with DevOps team to automate test scripts using industry-standard tools for continuous integration / continuous deployment (CI / CD) pipelines and integrate tests into Azure DevOps.
• Data Validation : Validate data at each stage of the pipeline for accuracy, completeness, and integrity across Azure Databricks, Azure Data Factory (ADF), and other components.
• Collaborate with Teams : Work closely with MLOps, Data Engineering, and DevOps teams to understand the system architecture and the test requirements for various components.
• Bug Reporting and Tracking : Identify and report bugs, tracking them through the lifecycle and collaborating with developers to resolve issues effectively.
• Test Planning & Reporting : Contribute to test planning, preparation, and reporting for various testing stages. Document defects, test results, and test cases in the test management tool.
• Continuous Improvement : Contribute ideas for improving test coverage, automation frameworks, and overall testing processes to ensure quality at every stage of the pipeline.
• Version Control and CI / CD : Manage version control for test scripts and integrate them with CI / CD pipelines to ensure seamless deployment and testing.
• Performance & Load Testing( Nice to have) : Perform performance and load testing on data pipelines, APIs, and web applications, ensuring that they scale efficiently and handle large volumes of data.

Required Qualifications :

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Nice to have :