Junior QA Engineer

About the role

As a Junior QA Engineer​, you will be responsible for ensuring the quality, reliability, and performance of Data Hubs and data processing pipelines in Azure & Databricks. You will develop automated test frameworks, conduct regression testing, and validate large-scale data processing workflows.

How you will get the job done

• designing, developing, and maintaining automated test frameworks for data processing and orchestration

• conducting regression, performance, and scalability testing for data ingestion and transformation

• implementing data quality validation and anomaly detection in Azure-based data pipelines

• collaborating with Data Engineers and DevOps teams to integrate testing into CI/CD pipelines

• ensuring compliance with data security, governance, and privacy standards

• defining test strategies, best practices, and documentation for Data & AI solutions

Skills and experience you will need

• strong expertise in Python, PySpark, SQL, and test automation frameworks

• experience with Azure Data Services (Databricks, Data Factory)

• proficiency in testing big data pipelines, distributed systems, and ETL workflows

• hands-on experience with CI/CD tools (Azure DevOps, Jenkins) and test automation

• strong understanding of data governance, quality frameworks, and monitoring tools

• excellent problem-solving skills and ability to work in Agile/Scrum environments

• ability and willingness to quickly learn new (and old) technologies

Nice to have

• experience with ML model validation and AI pipeline testing

• familiarity with data lineage tracking and metadata management tools