Senior AWS Engineer

We are seeking an experienced Senior Data Engineer to support and enhance enterprise business intelligence and analytics environments. This role focuses on designing, building, and maintaining scalable data pipelines and cloud‑based data platforms using AWS services. The ideal candidate brings deep hands‑on experience with AWS Glue, PySpark, Redshift, and serverless architectures, along with strong SQL and data analysis skills.

This role will collaborate closely with architecture, security, compliance, and development teams to ensure data solutions are performant, secure, and compliant with regulatory requirements.

Key ResponsibilitiesDesign, build, and maintain scalable ETL/ELT pipelines using AWS Glue with PySpark for large‑scale data processingDevelop and support serverless integrations using AWS Lambda for event‑driven workflows and system integrationsDesign and optimize Amazon Redshift data warehouse solutions, including:

Advanced SQL analyticsStored proceduresPerformance tuningLead implementation of secure vendor file transfer and ingestion solutions using AWS Transfer FamilyDesign and implement database migration and replication pipelines using AWS Database Migration Service (DMS)Build and manage workflow orchestration using Apache Airflow or similar orchestration toolsAnalyze data quality, transformation logic, and pipeline performance using SQL and data analysis techniquesTroubleshoot and resolve production data pipeline and integration issues across AWS servicesProvide technical guidance to development team members on:

AWS best practicesCost optimizationPerformance optimizationPartner with enterprise architecture, security, and compliance teams to ensure SOX and regulatory compliance