Dataflow Analyst

🕒 vor 21 Tagen

🗣️🇺🇸🇬🇧 Englisch erforderlich

Jetzt Bewerben
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Logo of Spatial Front, Inc

Spatial Front, Inc

501 - 1000 Mitarbeiter

🤝 B2B

🏢 Unternehmen

☁️ SaaS

B2B • Enterprise • SaaS

SFI liefert effektiv die richtigen Informationstechnologie-Lösungen und Business-Support-Dienstleistungen durch fundierte Analyse, strategische Planung und präzise Umsetzung. Unser Engagement für Exzellenz in den Bereichen Kundenservice, Produktentwicklung und Datenmanagement bedeutet, dass ein aufmerksames Team von Branchenprofis Ihre Bedürfnisse auf einfache, zeitnahe und kosteneffektive Weise erfüllen wird. Wir sind zudem nach CMMI L3 bewertet und nach ISO 9001 zertifiziert.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

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

Jetzt Bewerben

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