Our Client, an IT Services and Consultant company, is looking for a Senior AWS Data Engineer/Manager – Geospatial for their Newark, NJ/Hybrid location.
Responsibilities:
Design and manage scalable geospatial data architectures that efficiently organize, catalog, and expose spatial datasets to analytics and application teams for consistent business value delivery.
Develop and maintain robust ETL pipelines using AWS Glue and related tools to ingest, transform, and enrich diverse geospatial data sources while ensuring data quality and reliability. -Configure and optimize AWS S3 storage structures for geospatial assets to support efficient querying, lifecycle management, and cost effective retention of critical spatial information. -Implement data processing workflows in AWS Glue Studio that streamline development of complex geospatial transformations and automate recurring spatial analysis tasks.
Use AWS Athena to design performant query strategies on geospatial data lakes that enable rapid exploration and reporting for stakeholders across multiple business domains.
Apply AWS DevOps practices to automate deployment, monitoring, and updating of geospatial data pipelines, ensuring consistent environments and minimal downtime for users. -Collaborate with product and analytics teams to translate location based business questions into geospatial data solutions that directly support operational decisions and strategic planning.
Establish governance standards for geospatial datasets including access controls, metadata conventions, and stewardship practices that enhance trust and reuse of spatial data assets.
Monitor system performance and cost metrics for AWS geospatial workloads, proactively tuning configurations and resource usage to maintain efficiency within budget constraints. -Document geospatial platform designs, data flows, and operational playbooks in clear technical narratives that help teams understand dependencies and maintain long term continuity. -Coordinate with security and compliance teams to align geospatial data handling on AWS with organizational policies and regulatory expectations, minimizing risk while enabling innovation. -Support hybrid work collaboration by enabling secure remote access patterns and tools that allow geospatial stakeholders to work effectively from multiple locations without disruption. -Engage with internal customers to gather feedback on spatial tools and data services, iterating on solutions to improve usability, insights quality, and practical impact on business outcomes.
Requirements:
Ring extensive experience in AWS S3 to design bucket structures, access patterns, and storage policies tailored to large geospatial datasets and associated metadata. -Demonstrate strong proficiency with AWS Glue and AWS Glue Studio to build, schedule, and monitor ETL jobs that reliably transform and integrate complex spatial and tabular data. -Apply deep knowledge of AWS Glue ETL frameworks to handle performance tuning, error handling, and pipeline optimization for continuous geospatial data processing. -Use AWS Athena skills to craft effective query approaches on partitioned geospatial tables, enabling fast retrieval of spatial insights from large data lakes. -Show practical experience with AWS DevOps toolchains that support version control, continuous integration, and automated deployment of geospatial data workflows. -Exhibit solid understanding of cloud native geospatial concepts and data formats, enabling smooth integration of spatial services with enterprise analytics platforms. -Prefer exposure to broader AWS analytics and data engineering services that complement geospatial workloads and strengthen end to end spatial intelligence solutions.
AWS Certified Data Engineer or AWS Certified Solutions Architect and any recognized certification in geospatial or GIS technologies - preferred