Job descriptionNew Value Solutions, a national IT consulting company, is seeking a Data Engineer to design, build, and maintain scalable data solutions that support analytics, reporting, and informed decision-making across the organization. In this role, you will work closely with Data Analytics, Data Strategy, and Delivery teams to integrate data from multiple sources, develop efficient data models, and ensure data quality, consistency, and reliability.
Responsibilities:
• Design and maintain data pipelines to ingest relational, structured, semi-structured, and unstructured data from on-premises, cloud, external, and document-based sources.
• Develop logical data models and centralize business rules, calculations, mappings, and transformations to enable accurate, consistent, and efficient analytics solutions.
• Ensure data quality through validation, lineage, standardization, and consistent application of entity and attribute requirements.
• Collaborate with cross-functional teams to support reporting and analytics needs, improve performance, and deliver reliable data solutions.
Requirements:
• 4+ years of experience in data engineering, including data ingestion, data modelling, ETL development, and data transformation.
• Strong SQL skills, including experience with stored procedures and transformation logic.
• Experience integrating and blending data from multiple sources into a unified information context.
• Working knowledge of reporting and analytics tools.
• Strong interpersonal skills, teamwork, and the ability to adapt to new concepts and evolving technical environments.
• Experience with Databricks preferred.
• Experience with API integration, Power Query (M), DAX, and performance tuning preferred.
• Familiarity with dimensional modelling concepts, including star schemas preferred.
If you have this expertise and are able to work in Canada, please submit your resume. While we thank all candidates in advance for their application, only those candidates who are shortlisted will be contacted.
ID#5417