Summary: Seeking an experienced AWS Data Engineering Team Lead to drive the design, development, and optimization of secure data pipelines and cloud-based architectures. Highlights: 1. Lead and mentor a skilled team of data engineers 2. Drive innovative projects like new scanned image data pipelines 3. Build secure and scalable AWS solutions We are seeking an experienced **AWS Data Engineering Team Lead** to drive the design, development, and optimization of highly secure data pipelines and cloud\-based architectures. In this leadership role, you will guide a skilled team of engineers, contributing to innovative projects such as building new scanned image data pipelines and migrating healthcare data into centralized, scalable solutions. Be part of a dynamic team where innovation and collaboration fuel success as we build secure and scalable AWS solutions! **Responsibilities** * Lead, mentor, and manage a team of data engineers to deliver high\-quality, scalable solutions * Design and implement optimized workflows using AWS Glue and Amazon Athena * Build and enhance distributed data processing systems leveraging Apache Spark * Analyze business requirements to improve and develop efficient BI processes * Drive data migration and centralization efforts for large\-scale and secure data solutions * Integrate new scanned image data pipelines into existing systems with a focus on efficiency * Troubleshoot, monitor, and optimize AWS\-based systems to ensure high performance and reliability * Conduct regular code reviews and enforce best practices in data engineering and cloud computing * Collaborate with internal teams and leadership to align project deliverables with organizational goals * Stay updated on emerging cloud and data engineering technologies to implement best practices **Requirements** * 5\+ years of professional experience in data engineering or a related field * At least 1 year of relevant leadership experience in managing technical teams to build and maintain large\-scale solutions * Proficiency in AWS Glue, Amazon Athena, and general Amazon Web Services ecosystem * Expertise in Apache Spark, data pipeline optimization, and distributed processing systems * Knowledge of BI process analysis and ability to design scalable solutions * Familiarity with end\-to\-end data management practices, including governance and security * Capability to troubleshoot complex cloud\-based architectures and ensure system reliability * Flexibility to work in EST time zone and collaborate within a LATAM\-based engineering team * Excellent command of written and spoken English (B2\+ level) **Nice to have** * Knowledge of Amazon Elastic Kubernetes Service (EKS) for containerized application orchestration * Understanding of Amazon Kinesis for real\-time data streaming processes * Familiarity with Apache Hive for data warehouse purposes and integration with big data ecosystems * Knowledge of BI Toolset operational workflows for streamlined business intelligence reporting * Understanding of Java and/or Node.js with flexibility to utilize them for development tasks * Skills in SQL with a proven track record of crafting and optimizing queries for performance