Data Engineer QA

We are seeking a skilled and detail-oriented Software Test Engineer with strong experience in testing real-time data streaming platforms, cloud-native architectures, and modern data ecosystems. The ideal candidate will have hands-on experience in validating complex data pipelines, ensuring system reliability, and contributing to the quality of data products in a distributed environment.Key Responsibilities:Design and implement manual test strategies for real-time streaming use cases using Azure Service Bus, Event Hubs, Kafka, and Azure Functions.Validate Spark Streaming applications, including unbounded data flows, streaming DataFrames, checkpoints, and streaming joins.Develop test plans for containerized microservices deployed on Kubernetes, ensuring scalability and fault tolerance.Test data ingestion and transformation workflows across open table formats like Delta Lake, Apache Iceberg, and Hudi. Good to Have:Monitoring and troubleshooting system performance using observability stacks such as Prometheus, Grafana, and ELK.functional and performance testing on analytical databases and query engines such as Trino, StarRocks, and ClickHouse.Testing and validation of data products designed under data mesh architecture, ensuring domain-oriented data quality and governance.