ETL Datawarehouse Developer

Data Engineer (Cloud Data Modernization & Data Governance) About the Role We are seeking an experienced Data Engineer to support the modernization of large-scale geospatial and environmental data infrastructure. This role focuses on designing, implementing, automating, and optimizing cloud-based data platforms, ETL/ELT pipelines, data governance frameworks, and analytics capabilities. The successful candidate will work closely with data management teams, architects, and stakeholders to build scalable, secure, and AI-ready data solutions within a multi-cloud environment. Responsibilities • Design, build, and maintain scalable cloud-based data infrastructure and storage solutions. • Develop and automate ETL/ELT pipelines for ingesting, transforming, and delivering large-scale datasets. • Analyze business and technical requirements and develop cloud architecture recommendations. • Create implementation plans and execute cloud data modernization initiatives. • Establish data governance standards, metadata management processes, and data quality controls. • Support AI/ML initiatives by designing data platforms that enable MLOps and advanced analytics workloads. • Develop reporting, monitoring, and analytics infrastructure across multiple data domains. • Build microservices and data products that integrate disparate scientific and operational data sources. • Implement Infrastructure-as-Code (IaC) solutions for automated deployment and management. • Collaborate with technical and business stakeholders to translate requirements into scalable solutions. • Provide technical leadership, mentoring, project planning, and stakeholder communication. Required Qualifications • Strong experience with Data Warehousing and ETL/ELT processes. • Expertise in Big Data technologies and distributed cloud-native processing frameworks. • Hands-on experience in Data Modeling and Database Design for structured and unstructured data. • Strong understanding of Data Governance, metadata management, data quality, and security frameworks. • Proven experience managing complex enterprise data projects, including planning, prioritization, mentoring, and successful delivery. • Excellent communication skills with the ability to bridge technical and non-technical audiences. • Experience designing and implementing modern cloud-based data architectures. Preferred Technical Skills • AWS, Azure, and/or Google Cloud Platform (GCP) • Data Lakes, Data Warehouses, and Data Mesh architectures • ETL/ELT tools and workflow orchestration platforms • Infrastructure as Code (Terraform, CloudFormation, etc.) • GIS and geospatial data platforms • Real-time streaming and event-driven architectures • AI/ML and MLOps platforms • Metadata management, data cataloging, and governance tools Key Deliverables • Data infrastructure assessments and technical audits. • Cloud architecture recommendations with implementation and cost estimates. • Infrastructure-as-Code deployment templates. • Metadata harvesting and governance automation solutions. • Deployment of data platforms supporting GIS, AI, video, and analytics workloads. • Automated operational, security, and performance reporting. • Regular project status updates and stakeholder communications.