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обновлено 1 месяц назад

Software Applications Developer (Data Engineering)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada

Описание вакансии

Текст:
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TL;DR

Senior Software Applications Developer (Data Engineering): Building and optimizing enterprise reporting solutions with an accent on Power BI dataset management, Snowflake data engineering, and real-time data integration. Focus on designing and implementing modern data architectures, ensuring data reliability, and providing technical guidance for platform modernization.

Location: Moncton, CA

Company

Brightstar is a global leader in lottery, delivering secure technology and comprehensive solutions to customers worldwide with approximately 6,000 employees.

What you will do

  • Maintain and enhance Power BI datasets and Snowflake data pipelines.
  • Manage and troubleshoot complex Power BI datasets, including Azure AD authentication issues.
  • Design and implement real-time reporting solutions using Microsoft Fabric Real-Time Intelligence.
  • Lead semantic model setup and data integration efforts for multiple business domains.
  • Provide technical support and guidance to field services and business users for Power BI.
  • Develop and maintain Snowflake data engineering solutions for scalable reporting environments.

Requirements

  • Master’s or Bachelor’s degree in Computer Science, Software Engineering, or related field.
  • 10+ years of experience in enterprise reporting, data engineering, or software development.
  • Strong expertise in Power BI, including dataset management, dashboard development, and workspace administration.
  • Proven experience with Snowflake data engineering, including data modeling, pipeline development, and performance tuning.
  • Familiarity with Microsoft Fabric Real-Time Intelligence and Azure Directory structures.
  • Solid understanding of software development life cycle (SDLC) and Agile methodologies.
  • Excellent analytical, troubleshooting, communication, and stakeholder engagement skills.

Nice to have

  • Experience using AI-assisted development and testing tools.
  • Exposure to machine learning workflows or AI model integration.

Culture & Benefits

  • Committed to sustaining a workforce that reflects global diversity.
  • Creating a fair and inclusive culture.
  • Equal opportunities employer.
  • Annual information security training will be assigned and required.