Data Engineer

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🕒 vor 10 Tagen

🌵 Arizona, Florida, +11 weitere Bundesländer – Remote

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MVB

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 1947

📱 Medien

☁️ SaaS

🤝 B2B

Media • SaaS • B2B

MVB ist ein Unternehmen, das die digitale Infrastruktur für die internationale Buchbranche entwickelt und betreibt. Es entwickelt Metadatenservices, digitale Plattformen und Medienformate, um Verlage, Buchhandlungen und Dienstleister zu vernetzen – Bücher auffindbar zu machen und Datenflüsse über Märkte hinweg zu steuern. MVB bietet Lösungen und Produkte wie VLB, VLB-TIX, ISBN/ISNI-Dienstleistungen, Gutscheinsysteme sowie Branchenveranstaltungen und Forschung an. Das Unternehmen operiert von mehreren Standorten weltweit und unterstützt Verlage, Buchhändler und Self-Publisher.

Beschreibung

• Design, build, and maintain saleable data pipelines within Snowflake from multiple sources • Build and maintain medallion architecture (bronze/silver/gold layers) for data lake solutions • Design data models that support both businesses intelligence and AI requirements • Lead cloud-native data platform evolution, integrating Snowflake with AWS. • Collaborate with business analysts, data scientists, and stakeholders to understand data requirements and translate them into technical specifications. • Implement data quality frameworks and monitoring systems to ensure accuracy, completeness, and consistency of data assets. • Develop and maintain comprehensive documentation for data pipelines, models, and processes. • Optimize query performance and resource utilization to reduce costs and improve processing times. • Participate in on-call rotation to support production data systems and resolve incidents.

🎯 Anforderungen

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, Statistics, or related technical field or equivalent relevant experience required. • 5+ years of hands-on data engineering experience building production-scale data systems • Snowflake proficiency: warehouses, databases, roles, RBAC, Snowpipe, streams, tasks, and performance optimization • Strong SQL mastery: complex queries, window functions, CTEs, query optimization, and database design • Programming proficiency: Python for data transformation, automation, and pipeline development • Cloud platform experience: Deep knowledge of AWS data services and architecture patterns • Version control and CI/CD: Git, GitHub/GitLab, automated testing, and deployment pipelines • Orchestration expertise: Apache Airflow or similar workflow management tools • Excellent communication skills with ability to explain technical concepts to non-technical stakeholders • Experience in financial services or highly regulated industries preferred • Familiarity with data governance tools and frameworks preferred • Experience with Snowflake engineering processes preferred • Certifications: Snowflake SnowPro Core and AWS Cloud practitioner preferred • Understanding of business intelligence, machine learning workflows, and AI practices preferred

🏖️ Vorteile

• Medical, Dental and Vision Insurance • Health Savings Account (HSA), Health Reimbursement Account (HRA) & Flexible Spending Accounts (FSA) • Short- and Long-Term Disability Plan • Group Life Insurance • 401K Salary Deferral Plan • Wellness Program • Education & Tuition Expense Reimbursement • PTO and Unique Vacation Purchase Program • Nationwide Pet Insurance Coverage