Data Modeler, Architect

Job not on LinkedIn

🕒 January 17

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🏛️ Architect

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Golden Prospects by YMP

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎯 Recruiter

👥 HR Tech

☁️ SaaS

Recruitment • HR Tech • SaaS

Golden Prospects by YMP is an online job board and recruiting platform that connects employers and job seekers. The site offers job posting, resume search, employer and candidate pricing plans, and partnership options, and appears to aggregate and display a wide range of job listings across industries and locations. It functions as an HR/Recruitment marketplace powered by job-board software to help employers advertise openings and candidates find opportunities.

📋 Description

• Evaluate and interpret existing data structures to ensure optimal performance and alignment with industry standards in the banking and financial services domain. • Understanding of Data architecture, data lineage and mapping to identify data gaps • Build controls based on the gaps identified • Design and implement robust data models that support the integration and functionality of various applications and analytics platforms. • Develop and maintain scalable and efficient data pipelines using ETL processes tailored for AWS and Databricks environments. • Collaborate with cross-functional teams to gather requirements and deliver high-quality data architecture solutions that meet the strategic needs of the business. • Implement and manage SQL modeling techniques to enhance data retrieval and analysis. • Leverage knowledge of visualization tools to aid in data interpretation and decision-making processes. • Ensure adherence to best practices in database management and data integration.

🎯 Requirements

• Proven experience as a Data Architect or Data Modeler , specifically within the banking and financial services sector. • Expertise in ETL processes and SQL database modeling. • Experience in building Dashboards is a plus • Experience in Recon tools is a plus • Excellent problem-solving skills and the ability to manage complex data sets. • Strong communication and interpersonal skills, capable of working collaboratively in a dynamic environment.