AWS Data Engineer

HMG AMERICA LLC is seeking a highly skilled AWS Data Engineer with strong experience in PySpark and AWS-native data architectures. The role involves building and optimizing scalable ETL/data pipelines and designing AWS-based data engineering solutions to handle large-scale datasets.

Responsibilities:

• Build and optimize scalable ETL/data pipelines using PySpark
• Design AWS-based data engineering solutions using EMR, Glue, S3, Iceberg, etc
• Improve performance and scalability for large-scale data processing systems
• Collaborate with architects, analysts, and engineering teams on data initiatives
• Ensure reliability, monitoring, and best practices across data platforms

Requirements:

• Strong hands-on experience with PySpark
• Strong hands-on experience with Apache Iceberg
• Experience with EMR + Glue
• Deep understanding of AWS native architecture
• Experience designing scalable and performant applications/data pipelines
• Knowledge of data lake and distributed processing concepts
• Experience handling large-scale datasets and optimization techniques
• Exposure to Agentic Workflows
• Experience with modern AI/data engineering ecosystems