Senior Data Engineer

🕒 il y a 17 jours

🗣️🇺🇸🇬🇧 Anglais requis

Amazon Redshift

AWS

Cloud

ETL

Python

SQL

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Logo of Foley

Foley

201 - 500 employés

Fondée en 1992

📦 Logistique

🏗️ Construction

🏭 Fabrication

Logistics • Construction • Manufacturing

Foley est une entreprise SaaS qui propose une plateforme tout-en-un pour le recrutement, le filtrage et la conformité aux réglementations DOT destinée aux opérateurs de transport et de flotte. Sa plateforme simplifie le recrutement et l'intégration, les vérifications d'antécédents, les tests de dépistage de drogues et d'alcool, l'administration de la FMCSA Clearinghouse, la surveillance des permis de conduire, et la surveillance des risques d'audit pour aider les entreprises à rester conformes, à réduire les risques et à gérer les données des conducteurs et de sécurité. Foley sert les transporteurs de toutes tailles et les industries adjacentes telles que le commerce de détail, les services publics et la santé, avec des outils pour numériser les dossiers, surveiller la sécurité, et simplifier les exigences réglementaires.

Description

• Design, build, and maintain scalable data pipelines across internal databases, vendor systems, and our data warehouse • Support both batch and event-driven or CDC-based data workflows • Improve pipeline reliability, observability, and performance • Troubleshoot issues in production and proactively solve data quality or system problems • Build and maintain data warehouse schemas and transformation layers to support analytics and operational use cases • Communicate clearly about implementation choices, tradeoffs, and technical constraints • Identify opportunities to improve data workflows through better tooling, automation, and engineering practices • Help shape scalable patterns for how data is ingested, transformed, stored, and accessed

🎯 Exigences

• Strong experience building and maintaining ETL/ELT pipelines in production environments • Experience working across both batch and streaming / CDC / event-driven data patterns • Proven ability to design and maintain scalable warehouse schemas and data models within a layered architecture • Strong experience with Python, SQL, and cloud-based data platforms • Experience with AWS data services such as Redshift, Glue, Lambda, S3, and EventBridge • Strong software engineering fundamentals, including reliability, testing, and maintainability • Ability to operate independently and deliver high-quality solutions within a defined technical scope • Strong problem-solving skills and a track record of handling issues in production environments.

🏖️ Avantages

• medical coverage • dental coverage • vision coverage • 401(k) with company match • paid time off and holidays • wellness programs • employee assistance program

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