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9 days ago
Requirements and responsibilities
Join Zeminent and help build next-generation cloud-native data platforms on AWS.We're looking for an experienced Senior Data Engineer who thrives in big data environments and has hands-on expertise in modern lakehouse architectures, real-time data processing, and scalable cloud solutions.What You'll Be Working OnDesign and maintain scalable data platforms and pipelinesBuild modern AWS Lakehouse solutionsDevelop robust ETL pipelines using PySpark, Python & AWS GlueEnsure system scalability, reliability, and performanceCollaborate with architecture teams and stakeholdersMonitor workflows and maintain high data quality standardsMandatory SkillsAWS EMRApache SparkPostgreSQLDynamoDBApache IcebergGood to HavePythonPySpark DevelopmentPreferred ExperienceAWS Step FunctionsLambdaEventBridgeKinesisFirehoseSQSBedrockSageMakerReal-time streaming systemsEvent-driven architecturesML Data Pipelines🕒 Work timings typically overlap with US business hours until 10:30–11:00 PM IST, with flexible morning login hours.📧 Send your resume to: hr@zeminent.com
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