We’re hiring Data Engineers on behalf of our client, who are building an intelligent, scalable, and future-ready data infrastructure to enable smarter, faster decision-making. If you enjoy tackling complex problems and thrive in a cloud-native environment, we’d love to connect. Your Role: Build and manage robust data pipelines across AWS and AzureEnsure high data quality through validation and monitoringCollaborate with cross-functional teams to deliver usable, trusted datasetsSupport cloud migration and data integration effortsDesign and maintain ETL workflowsOptimize storage and processing for performance, cost, and scaleTroubleshoot pipeline issues and automate recurring tasks Your Background: 5 years of experience in data engineering or similar rolesProficient with AWS (S3, Redshift, Glue, Lambda)Hands-on with Azure tools (Data Lake, SQL DB, Synapse)Strong skills in Python (or Java/Scala), SQL, and SparkExperience in data warehousing, modeling, and orchestrationFamiliar with DevOps, CI/CD pipelinesCertifications in AWS or Azure are a plus
