Job description

Please, no third parties. Permanent residents only. Sr Business Intelligence Engineer Skills & Requirements: - 4+ years of experience working in a data engineering, analytics, business intelligence, or data warehouse environment. - Strong experience in data modeling, including designing and optimizing relational and dimensional models to support enterprise reporting, analytics, and scalable data solutions. - Advanced Power BI expertise, including building enterprise dashboards, semantic models, and developing complex DAX calculations/measures to support business reporting and analytics needs. - Proficiency writing complex T-SQL queries for data transformation, validation, and reporting. - Hands-on experience working with Snowflake as a cloud data warehouse, including data ingestion, transformation, and performance optimization. - Strong background building ETL/ELT pipelines, including orchestration, monitoring, and troubleshooting data processing workflows. - Intermediate to advanced experience creating Power BI reports, particularly paginated reports and enterprise-level dashboards used for operational or regulatory reporting. - Demonstrated experience gathering technical requirements and performing detailed data analysis to support reporting and integration initiatives. - Solid understanding of system integrations, relational database design, and enterprise data architecture principles. - Strong analytical thinking and problem-solving capabilities with an ability to interpret complex datasets. - Excellent written and verbal communication skills with the ability to collaborate effectively with technical teams and high-level business stakeholders. - Familiarity with Azure data services or cloud-based analytics platforms is highly preferred. - Exposure to modern data engineering tools such as Coalesce, dbt, or similar automation frameworks used to manage transformation logic and data modeling is preferred. - Familiarity with Microsoft Fabric, lakehouse architectures, or other modern analytics platforms is a plus. - Bachelor’s degree in Computer Science or a related technical discipline, or equivalent professional experience.

Requirements

Must-haves

Please, no third parties. Permanent residents only.
Sr Business Intelligence Engineer
4+ years of experience working in a data engineering, analytics, business intelligence, or data warehouse environment.
Strong experience in data modeling, including designing and optimizing relational and dimensional models to support enterprise reporting, analytics, and scalable data solutions.
Advanced Power BI expertise, including building enterprise dashboards, semantic models, and developing complex DAX calculations/measures to support business reporting and analytics needs.
Proficiency writing complex T-SQL queries for data transformation, validation, and reporting.
Hands-on experience working with Snowflake as a cloud data warehouse, including data ingestion, transformation, and performance optimization.
Strong background building ETL/ELT pipelines, including orchestration, monitoring, and troubleshooting data processing workflows.
Intermediate to advanced experience creating Power BI reports, particularly paginated reports and enterprise-level dashboards used for operational or regulatory reporting.
Demonstrated experience gathering technical requirements and performing detailed data analysis to support reporting and integration initiatives.
Solid understanding of system integrations, relational database design, and enterprise data architecture principles.
Strong analytical thinking and problem-solving capabilities with an ability to interpret complex datasets.
Excellent written and verbal communication skills with the ability to collaborate effectively with technical teams and high-level business stakeholders.
Bachelor’s degree in Computer Science or a related technical discipline, or equivalent professional experience.

Nice-to-haves

Familiarity with Azure data services or cloud-based analytics platforms is highly preferred.
Exposure to modern data engineering tools such as Coalesce, dbt, or similar automation frameworks used to manage transformation logic and data modeling is preferred.
Familiarity with Microsoft Fabric, lakehouse architectures, or other modern analytics platforms is a plus.

Application prep

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Keywords to mirror

sqlazure

Platform: bullhorn
Effort: medium