Dataflow Analyst

🕒 Maio 22

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Spatial Front, Inc

Spatial Front, Inc

501 - 1000 funcionários

🤝 B2B

🏢 Corporativo

☁️ SaaS

B2B • Enterprise • SaaS

A SFI entrega de forma eficaz as soluções certas em Tecnologia da Informação e serviços de Suporte ao Negócio, utilizando análise cuidadosa, planejamento estratégico e execução precisa. Nosso compromisso com a excelência em serviços ao cliente, desenvolvimento de produtos e gestão de dados significa que uma equipe atenta de profissionais do setor atenderá às suas necessidades de maneira direta, pontual e econômica. Somos certificados CMMI Nível 3 e ISO 9001.

Descrição

• Support the ingestion and migration of large-scale datasets into a cloud-based data platform • Assist in modernizing legacy dataflow pipelines into automated, cloud-native solutions • Maintain high availability and reliability of real-time data delivery across hybrid environments • Monitor, troubleshoot, and optimize data ingestion and routing processes • Manage the end-to-end flow of real-time data, including validation, quality control, archival, and retrieval • Execute and support ingestion processes for mission-critical datasets into the cloud environment • Assist in transitioning legacy workflows into API-driven and automated scripting solutions (Python/Bash) • Ensure continuous data flow in a 24/7 environment; troubleshoot and resolve data delivery issues • Monitor and optimize data routing applications and cloud services to ensure performance and low latency • Maintain and enhance scripts and legacy tools (Bash, Perl, SQL) while supporting migration to modern solutions • Support automated deployment, testing, and monitoring of dataflow applications and pipelines • Serve as a technical escalation point for complex data ingestion and formatting issues • Develop and maintain technical documentation, processes, and configuration standards • Participate in a 24/7 on-call rotation to support mission-critical operations • Work with internal teams and external partners to resolve data access, formatting, and integration challenges.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience) • 5–8 years of experience in a technical, data, or systems support role • 1–2 years of hands-on experience with cloud platforms (AWS, Azure, or GCP) • Strong scripting experience in Python and Bash (Perl experience a plus) • Experience supporting data pipelines, ETL processes, or system integrations • Familiarity with CI/CD tools and automated workflows • Minimum 2 years of Linux/Unix system administration or support experience • Ability to obtain and maintain a Public Trust clearance.

🏖️ Benefícios

• SFI offers a comprehensive benefits package. Details available at SFI Careers.

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