Senior Data Quality Engineer

We are seeking a Senior Data Quality Engineer to support three key engineering streams (Data Product Engineering Framework, Polarmesh Portal, Platform Engineering Team). You will collaborate closely with Data Engineers, Platform Engineers, and DevOps teams to design, build, and maintain automated testing solutions across data pipelines, APIs, and platform components in a modern Azure-based ecosystem.

Responsibilities

Design and build automated testing solutions across data pipelines, APIs, and platform components Maintain and enhance test automation frameworks within an Azure-based ecosystem Validate data quality, data transformations, and pipeline outputs using SQL and/or Python Collaborate closely with Data Engineers, Platform Engineers, and DevOps teams on testing strategy Integrate automated tests into CI/CD pipelines Monitor, log, and troubleshoot pipeline failures Support the maintenance and optimization of ETL/ELT processes and data pipelines Contribute to testing efforts across three engineering streams, including the Data Product Engineering Framework, Polarmesh Portal, and Platform Engineering Team Requirements 5+ years of experience as a QA Engineer / Test Automation Engineer in Data Engineering or Data Platform environments Strong hands-on experience with Azure cloud services Experience working with Azure Databricks, Spark/Py.

Spark, or similar big data platforms Understanding of data pipelines, ETL/ELT processes, and data pipeline maintenance Skills in testing data quality, data transformations, and pipeline outputs using SQL and/or Python Experience with CI/CD pipelines, preferably using Azure DevOps, GitHub Actions, or similar tools Knowledge of automated testing approaches for data pipelines, APIs, and platform components Familiarity with version control systems such as GitHub Understanding of monitoring, logging, and troubleshooting pipeline failures Ability to work closely with Data Engineers, Platform Engineers, and DevOps teams Nice to have Experience with Delta Lake, Azure Data Factory, ADLS, Synapse, or Event Hub Knowledge of infrastructure as code tools such as Terraform or ARM/Bicep Experience with data quality tools/frameworks Basic understanding of Docker, Kubernetes, or containerized environments Experience in Agile/Scrum teams