Digital Banking Data Solutions Specialist
4 days ago
We are seeking a Digital Banking Data Solutions Specialist with expertise in Microsoft Fabric, Azure Data Factory, D365 CE, and digital banking systems. In this role, you will design and implement data solutions that empower seamless banking experiences and actionable insights.
Key Responsibilities:- Create end-to-end data pipelines using Microsoft Fabric and Azure Data Factory to support digital banking operations.
- Integrate Dynamics 365 CE with digital banking platforms to enhance customer engagement and personalization.
- Collaborate with stakeholders to design data architectures that meet the specific needs of digital banking environments.
- Evaluate and ensure data integrity and compliance with banking industry regulations and standards.
- Leverage data engineering to support advanced analytics, customer insights, and fraud detection in digital banking.
- Develop dashboards and reporting systems for real-time monitoring of banking activities and KPIs.
- Detailed experience with Microsoft Fabric and Azure Data Factory for data pipeline development.
- Proficiency in Dynamics 365 CE, focusing on integrating CRM with digital banking systems.
- Expertise in data modeling and ETL processes tailored for the digital banking sector.
- A deep understanding of digital banking platforms, payment systems, and customer data management.
- Familiarity with SQL, Python, or other programming languages used in data engineering.
- Awareness of banking industry regulations (e.g., PCI DSS, GDPR) and best practices for data security.
The estimated salary for this position is CA$80 per hour (up to C2C). Additionally, we offer remote work opportunities within Canada and a contract-based employment arrangement.
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Digital Banking Operations Specialist
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Toronto, Ontario, Canada Hard Rock Digital Full timeJob OverviewWe are seeking an experienced Data Integration Specialist to join our team at Hard Rock Digital. As a key member of our corporate analytics platform, you will play a crucial role in supporting and enhancing our data infrastructure.
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