10+ years of experience in data engineering or software engineering, with strong & dedicated hands-on AWS experience of 4-5 years.
Lead the design, build, and evolution of cloud-native data engineering frameworks on AWS
Architect and optimize end-to-end data pipelines (batch and streaming) for performance, reliability, and scalability
Drive adoption and experimentation with new and emerging AWS services to improve efficiency and innovation
Establish engineering standards, patterns, and best practices for data ingestion, transformation, and storage
Collaborate with analysts, and product teams to support analytics
Own data quality, monitoring, observability, and cost optimization strategies
Provide technical leadership and mentorship to mid-level data engineers
Participate in architectural reviews and contribute to enterprise-wide data strategy
Skills & Requirements
Technical Skills
AwsData engineeringSoftware engineeringCloud-native data engineering frameworksEnd-to-end data pipelinesBatch and streamingData ingestionTransformationStorageData qualityMonitoringObservabilityCost optimizationFinanceHealthcare