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Sql server • regina sk

Dernière mise à jour : il y a 2 jours

Data Architect

BrandtRegina, CA
Temps plein

Data Engineer to join our dynamic team.The ideal candidate will have a strong background in designing, implementing, and optimizing data solutions using PowerBI, Azure, and AI technologies.As a Dat... Voir plus

Server - Cast Member

CEC Entertainment Canada, ULC.685 University Park Drive, Regina, SK
Temps partiel

Cheese (CEC) is a great place for a first-time job seeker or a place to build an exciting career.Our Cast Members are empowered to provide the greatest service anywhere through cross-training in a ... Voir plus

Data Center Technician Canada Onsite

RM Staffing B.V.Regina, SK, CA
Temps plein

This is an on-site position supporting mission-critical infrastructure at premier data center facilities.Rates vary based on experience level and project complexity.Emergency and after-hours work m... Voir plus

Full-Time Cashier / Line Cook

McDonald'sRegina, Saskatchewan, Canada
Temps plein

Apply now to immediately connect with our virtual hiring assistant, Olivia!.Access to education and skills development opportunities.A total rewards package that includes discounts, incentives, and... Voir plus

Senior Software Developer

StantecRegina, SK
74 400,00 $CA par an
Temps plein +1

At Stantec, we have some of the world’s leading professionals passionate about enabling our business to be its best.Our business teams include finance, procurement, human resources, information tec... Voir plus

Intel Server Support - Junior/Intermediate/Senior

PeopleToGoRegina, SK, Canada
Temps plein
Quick Apply

Our customer is looking for 3 Intel Server Specialists: Junior, Intermediate, and Senior for 3 years contracts in Regina starting in late November or early December.Provide and ensure a secure, hig... Voir plus

Senior Data Engineer

iQmetrixRegina, SK, CA
110 000,00 $CA par an
Temps plein
Quick Apply

What We do: iQmetrix is a global provider of Interconnected Commerce software solutions for telecom retail.Interconnected Commerce is an AI-native telecom commerce platform that acts as a system of... Voir plus

Data Architect

Data Architect

BrandtRegina, CA
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

Brandt is seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have a strong background in designing, implementing, and optimizing data solutions using PowerBI, Azure, and AI technologies. As a Data Engineer, you will play a crucial role in developing and maintaining efficient data pipelines, ensuring data accuracy, and contributing to business intelligence initiatives.

Duties and Responsibilities

Data Architecture & Strategy

  • Data Solution Design: Lead the architectural design, data modeling, and implementation of highly scalable data processing systems within the Azure Data ecosystem.
  • Strategic Advisement: Partner with senior management and internal stakeholders to define data strategies, establish benchmarks, and translate complex business requirements into robust technical specifications.
  • Enterprise Capability Advancement: Drive the maturity of our enterprise data stack, defining best practices for data organization, governance, and architecture.

Data Engineering & Optimization

  • Advanced SQL & Performance Tuning: Act as the team's primary SQL authority. Proactively identify, troubleshoot, and optimize inefficient queries, fine-tune execution plans, and ensure optimal database performance.
  • ETL/ELT Pipeline Development: Architect and maintain robust, scalable data pipelines to extract, transform, and load data from disparate sources into Azure Data Factory and Azure Data Lake Storage.
  • Workflow Streamlining: Continuously monitor and optimize data workflows to reduce processing times, minimize compute costs, and improve overall system efficiency.

Business Intelligence & Security

  • Data Security & Governance: Implement strict data security measures, including encryption, robust access controls, and data masking to safeguard sensitive enterprise information.
  • PowerBI & Analytics Integration: Architect the data models that feed PowerBI, enabling the creation of interactive, high-performance dashboards that provide actionable insights to stakeholders.

#LI-ONSITE



Required Skills
  • Deep SQL Mastery: Expert-level proficiency in SQL (T-SQL preferred). Must have hands-on experience with query optimization, execution plan analysis, indexing strategies, complex joins, window functions, and CTEs.
  • Data Modeling: Strong background in relational and dimensional data modeling (Kimball/Inmon methodologies), data warehousing, and data dependencies across enterprise systems.
  • Azure Ecosystem: Deep expertise in Azure Data Factory, Azure SQL Database, and Azure Data Lake Storage.
  • Programming & BI: Highly proficient in Python and PowerBI (including DAX and Power Query optimization).
  • Emerging Tech: Familiarity with integrating machine learning models and AI tools into existing data workflows is a strong asset.


Required Experience
  • 5–10 years of proven experience in Data Architecture, with a heavy emphasis on Microsoft Azure technologies.
  • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent enterprise experience).
  • Demonstrated ability to break down complex, ambiguous processes and explain highly technical concepts to non-technical senior leadership.
  • Deep SQL Mastery: Expert-level proficiency in SQL (T-SQL preferred). Must have hands-on experience with query optimization, execution plan analysis, indexing strategies, complex joins, window functions, and CTEs.
  • Data Modeling: Strong background in relational and dimensional data modeling (Kimball/Inmon methodologies), data warehousing, and data dependencies across enterprise systems.
  • Azure Ecosystem: Deep expertise in Azure Data Factory, Azure SQL Database, and Azure Data Lake Storage.
  • Programming & BI: Highly proficient in Python and PowerBI (including DAX and Power Query optimization).
  • Emerging Tech: Familiarity with integrating machine learning models and AI tools into existing data workflows is a strong asset.