Senior DataOps Engineer

🕒 il y a 8 jours

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Guild Mortgage

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1960

🏗️ Construction

💸 Finance

🏠 Immobilier

Construction • Finance • Real Estate

Guild Mortgage est un prêteur hypothécaire et gestionnaire de prêts basé aux États-Unis, offrant une large gamme de produits et services de financement immobilier aux consommateurs et partenaires commerciaux. La société propose des hypothèques d'achat et de refinancement, y compris des prêts conventionnels, FHA, VA, USDA, jumbo, de rénovation, de construction, hypothèques inversées, HELOCs, et des programmes spécialisés ainsi que de l'assistance pour le paiement initial. Guild Mortgage opère à l'échelle nationale via des agences locales et des conseillers en prêts, soutient les emprunteurs grâce à des services et à la gestion de comptes en ligne, et collabore avec des constructeurs, agents immobiliers, agents de titre, et correspondants.

Description

• Execute DataOps projects from conception to deployment, ensuring timely, and successful delivery. • Implement automation tools and scripts to streamline data workflows and reduce manual intervention. • Implement monitoring and alerting systems to track the health and performance of data pipelines and storage systems and quickly resolve any issues that arise. • Ensure robust data pipeline and storage system security measures are in place and that data management practices comply with relevant regulations. • Implement and maintain disaster recovery plans and redundancy measures, ensuring data integrity and availability in case of failures. • Perform data migrations from existing databases to our Cloud environment, ensuring seamless transitions and data integrity. • Stay abreast of latest technology trends and participate in high-level decisions impacting the direction of the Information Technology function.

🎯 Exigences

• Bachelors Degree directly related to the position or equivalent, preferred. • Minimum five years experience. • Experience with monitoring and alerting tools (i.e. Prometheus, Grafana, Datadog). • Strong understanding of data quality principles and practices. • In-depth knowledge of Cloud storage services within AWS (Amazon RDS, Amazon Aurora, Amazon DynamoDB, Amazon Redshift, etc.) and Azure (Azure SQLDatabase, Azure database for MySQL, Azure Database for PostgreSQL, etc.). • Familiarity with data security and privacy best practices, including encryption, access controls, and compliance requirements. • Experience with disaster recovery strategies. • Expert with performance monitoring, optimization, tuning and management. • Excellent verbal and written communication skills required. • Highly organized and detail-oriented; ability to work in a fast-paced, metrics-driven environment required. • Proficiency in Microsoft Office Suite, Word, Excel, Wiki, collaborative cloud-based programs, and third-party software applications required.

🏖️ Avantages

• medical • dental • vision • life insurance • AD&D • LTD • 401(k) with employer match