What are the responsibilities and job description for the Data Engineer position at Axiom Builders, Bosa Construction, Greywolf Equipment?
Axiom Builders is seeking a Data Engineer to support the development, implementation, and maintenance of our data infrastructure at our head office in Vancouver. Working with cross-functional stakeholders to understand and address data requirements, the Data Engineer will take ownership of the end-to-end data engineering components, develop data pipelines to collect, store and transform data effectively and accurately, while maintaining data engineering and architecture best practices.
Key Responsibilities
Design, develop, and optimize data pipelines and workflows using Microsoft Fabric;
Implement medallion data architecture that supports batch data processing;
Integrate various data sources into a unified data model, leveraging Microsoft Fabric for storage and analytics;
Create and maintain ETL/ELT processes to load, transform, and cleanse data efficiently;
Build and maintain optimized, scalable data models for Power BI and other analytics tools and maintain comprehensive documentation for data pipelines, models, and workflows;
Collaborate with business stakeholders to translate business requirements into effective data solutions;
Enable advanced analytics and reporting by developing reusable data sets and semantic layers;
Optimize storage, compute, and data access strategies to balance performance and cost, focusing on Microsoft Fabric capabilities.
Provide support and guidance to team members or cross-functional teams using Microsoft tools.
What you Bring
The ideal candidate is a first-rate problem-solver that thrives in a fast-paced environment where autonomy is encouraged. You are detail-oriented, analytical, and you possess exceptional customer service and communication skills. Most importantly, you take great pride and ownership in your work, and you want to be part of a team that embraces new technology and innovation.
Skills and Experience
Diploma or degree in Data Science, Data Analytics, Computer Science, or a related field;
3 years of professional experience in Data Engineering;
Strong expertise in Microsoft data technology stack including Azure Data Factory, ADLS Gen 2, Azure SQL, Azure Key Vault and Power BI;
Strong expertise implementing medallion architectures (experience with Microsoft Fabric is an asset);
Strong expertise in programming PySpark and SQL;
Experience in Microsoft Power BI, Power Query and other Power Platform tools;
Analytical mindset with the ability to problem-solve and troubleshoot to resolve complex data-related issues;
Clear and effective communication skills to interact with technical and non-technical stakeholders;
Experience in Construction industry or similar industries is considered an asset;
Excited to support the growth of data within an organization.
Salary : $110,000 - $130,000
