Data Solutions Architect

4 days ago


Toronto, Canada Conspicuous Full time
About Conspicuous

We are a cutting-edge finance organization driving innovation in digital banking. Our mission is to empower seamless banking experiences and actionable insights through data-driven solutions.

Salary: CA$80/hour C2C

This contract role offers an hourly rate of CA$80, with a focus on delivering high-quality data solutions that meet the specific needs of our digital banking environment.

Data Engineer Job Description

As a Data Engineer at Conspicuous, you will design and implement end-to-end data pipelines using Microsoft Fabric and Azure Data Factory to support digital banking operations. Your expertise will be crucial in integrating Dynamics 365 CE with digital banking platforms to enhance customer engagement and personalization.

  • Main Responsibilities:
  • Build and manage data pipelines using Microsoft Fabric and Azure Data Factory.
  • Integrate Dynamics 365 CE with digital banking platforms.
  • Design data architectures that meet the specific needs of digital banking environments.
  • 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.
  • Collaborate with IT, product, and operations teams to deliver scalable and secure data solutions.
Essential Skills and Qualifications
  • Technical Requirements:
  • Strong experience with Microsoft Fabric and Azure Data Factory for data pipeline development.
  • Proficiency in Dynamics 365 CE, with a focus on integrating CRM with digital banking systems.
  • Expertise in data modeling and ETL processes tailored for the digital banking sector.
  • Deep understanding of digital banking platforms, payment systems, and customer data management.
  • Knowledge of SQL, Python, or other programming languages used in data engineering.
  • Familiarity with banking industry regulations (e.g., PCI DSS, GDPR) and best practices for data security.
Desirable Qualifications
  • Additional Skills:
  • Experience with AI/ML technologies for predictive analytics in banking, such as fraud detection or personalized recommendations.
  • Proficiency in Power BI or similar tools for creating interactive visualizations.
  • Certifications in Microsoft Azure, Dynamics 365, or related technologies.


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