Data Engineer

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System Automation Corporation

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 1973

☁️ SaaS

🏛️ Governo

📋 Conformidade

SaaS • Government • Compliance

A System Automation Corporation é uma empresa que oferece uma plataforma de aplicações SaaS de baixo código conhecida como Evoke. Esta plataforma apoia a transformação digital por meio de sistemas regulatórios empresariais adaptados para as necessidades de agências reguladoras e do setor público. O Evoke fornece gerenciamento completo de licenças e regulamentos, bem como capacidades de gerenciamento de registros, com o objetivo de modernizar operações e melhorar a produtividade de agências governamentais. Conhecida por sua rápida implantação e alta configurabilidade, a System Automation melhora a eficiência das operações regulatórias, permitindo soluções em nuvem seguras para o setor público.

Descrição

• Execute data and document migrations for Evoke™ platform implementations, including data extraction, transformation, and loading (ETL) into Evoke solutions. • Review data mapping documentation and contribute to the design of conversion methodologies that enable accurate and efficient data transformation and loading. • Research and evaluate automated and AI-driven tools to enhance data migration processes, championing adoption within the organization. • Develop and deploy integration solutions for Evoke™ platform projects, including API-based and batch-based data imports and exports. • Provide input and guidance to customer data teams and internal consultants during data mapping activities, ensuring alignment with migration and integration requirements. • Collaborate with internal teams to gather data from multiple repositories and create models and visualizations that support operations management. • Design, build, and maintain scalable data pipelines and workflows to ensure efficient data processing. • Ensure data integrity, quality, and security throughout migration and integration processes. • Troubleshoot and resolve data-related issues during implementation and internal projects. • Document processes, standards, and best practices for data engineering and integration activities.

🎯 Requisitos

• Bachelor’s degree in computer science, data engineering, data science or related field, or equivalent experience. • 4+ years of experience in data engineering, data integration, or similar roles. • Proficiency in SQL and experience with ETL tools and scripting languages (e.g., Python). • RESTful API Knowledge: Ability to design, consume, and troubleshoot RESTful APIs for data integration. • API Testing Tools: Familiarity with tools like Postman or Insomnia for testing and validating API endpoints. • Version Control: Proficiency with Git for managing code and configuration changes. • Data Security and Compliance: Understanding of encryption, secure data transfer, and compliance standards. • Performance Optimization: Ability to optimize ETL processes and API calls for speed and scalability. • Testing and Validation: Knowledge of automated testing frameworks for data pipelines and integrations. • CI/CD for Data Workflows: Familiarity with continuous integration and deployment practices for data engineering projects. • Preferred Experience with government SaaS implementations or regulatory systems. • Familiarity with AI-driven data migration tools. • Azure knowledge. • Experience with data visualization and reporting tools.

🏖️ Benefícios

• Uncapped PTO + flexible work environment • Health and Welfare options to include (medical, dental, and vision) health savings account with company contributions, medical flexible spending, and dependent care. • 401(k) with company match • Continuing education program