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Konica Minolta Business Solutions Canada · 9 hours ago

Data Engineer

Konica Minolta Business Solutions is looking for a Data Engineer to join their Data Science & Analytics team. The role involves designing and maintaining data warehouse solutions, optimizing data pipelines, and collaborating with stakeholders to enhance the organization's data platform.
Consumer ElectronicsRetailSoftware

Responsibilities

Design and implement and maintain enterprise-scale data warehouse solutions using dimensional modeling best practices (Kimball methodology, Star Schema)
Ingest and stage data following pre-defined patterns and methods
Architect and optimize data pipelines using modern ETL/ELT tools including Azure Data Factory, SSIS, or Python/C#
Support organization data products and analytics needs
Implement data quality frameworks and monitoring to ensure data integrity and trustworthiness
Build and launch new data models and data pipelines in production
Maintain clear, up-to-date documentation for deployed models, pipelines, architecture, and workflows
Leverage source control and DevOps processes to standardize workflows and automation

Qualification

Microsoft SQL ServerData warehousingPythonAzure Data FactoryC#SSISETL/ELT processesData modelingCritical thinkingCommunication skills

Required

Undergraduate degree in Computer Science, Math, Physics, or related technical fields
4+ years of professional experience as data architect, data engineer, data scientist, etc
Hands-on experience building secure and reliable data architecture on Microsoft SQL Server, particularly with SSIS, Python and/or C#
Experience working with scalable data systems that leverage a hybrid approach of batch processing and real-time data streaming
Experience working in source control and DevOps/DataOps environments
Experience in data warehousing and data modeling, data architecture, ETL/ELT processes, version control and DevOps practices like CI/CD pipelines and infrastructure-as-code tools
Understanding of how to maintain ETLs operating on a variety of structured and unstructured sources
C#, Python, Azure Data Factory and SQL skills for data manipulation, scripting and automating workflows
Strong critical thinking and problem-solving skills
Strong communication skills for technical and non-technical audiences

Preferred

Experience working in an agile/scrum delivery model
Understanding of open-source tooling and their applications within the data ecosystem
Experience working with a CLI and scripting for efficient system administration
Experience implementing monitoring, alerting, and logging mechanisms for proactive system health checks

Company

Konica Minolta Business Solutions Canada

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Everyday, Konica Minolta’s more than 41,000 employees across the globe work to enable their clients, coworkers and partners to succeed in reaching their maximum potential.

Funding

Current Stage
Late Stage
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