Data Engineer

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All Covered, IT Managed Services Division of Konica Minolta Business Solutions, has an exciting opportunity available for a Data Engineer! Seeking a Data Engineer to join our growing Data Science & Analytics team. The Engineer must be familiar with Microsoft SQL Server and be technically proficient in data warehousing and dimensional modeling. Familiarity with tools such as Python, C#, Microsoft SSIS, Azure Data Factory, and Business Intelligence Tools such as Power

BI and/or Dundas BI. He or she will work in a small team of data engineers and data scientists supporting data warehouses for Canada and the United States. The candidate will work to maintain and enhance our data platform and enable the organization to gain new business insights. The candidate must be comfortable working with a wide range of stakeholders and be able to collaborate across teams to solve technical challenges and drive business results.

• 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 Dev Ops processes to standardize workflows and automation

• 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 Dev Ops/Data Ops environments
• Experience in data warehousing and data modeling, data architecture, ETL/ELT processes, version control and Dev Ops 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

• 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

Konica Minolta is an equal opportunity and affirmative action employer. We consider all qualified applicants for employment without regard to race, color, religion, creed, national origin, sex, pregnancy, age, sexual orientation, transgender status, gender identity, disability, alienage or citizenship status, marital status or partnership status, genetic information, veteran status or any other characteristic protected under applicable law. Konica Minolta Business Solutions (Canada) Ltd.

is an equal opportunity employer. Solutions d’affaires Konica Minolta (Canada) Ltée. est un employeur d'opportunité égale.

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting