Data Developer II

Job summary

Design, implement, and maintain scalable data infrastructure using Snowflake and Azure Data Services. Drive the adoption of data engineering best practices and ensure compliance with data governance and security protocols.

Job details

Job Description As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM's data infrastructure and systems with a strong emphasis on leveraging modern data technologies and cloud platforms. The ideal candidate will have a proven track record in building scalable data solutions to enable advanced analytics and data management capabilities. This role will also involve driving the adoption of best practices in data engineering, promoting a data-centric culture, and providing mentorship within the development team. What does your typical day look like? Design, develop, and maintain modern data pipelines, data warehouses, and data lakes using Snowflake and Azure Data Services. Architect data solutions leveraging DBT for data transformation and Azure Data Factory for pipeline orchestration. Collaborate with business and data teams to translate data requirements into efficient data models, ensuring compliance with data governance and architecture standards. Utilize cloud-native data services, including Azure Storage, to optimize data management and scalability. Implement and automate data quality checks using tools like DBT tests. Implement and enforce data governance policies and procedures to ensure data quality, consistency, and compliance. Develop and maintain data dictionaries, data lineage, and metadata management processes. Collaborate with stakeholders to define data standards, naming conventions, and data classification. What skills and training do you need? Bachelor's or graduate degree in computer engineering, mathematics, data science, or related disciplines. 4-6 years of professional experience in a related field. Experience using the following software/tools: Relational and NoSQL databases (e.g., MS SQL Server, Snowflake, PostgreSQL, MariaDB). Cloud platforms (Azure preferred) and cloud-based data services. Data modeling and transformation tools like DBT. ETL tools such as Azure Data Factory, Airflow, or Informatica. Knowledge of APIs and data integration strategies. Relevant certifications in Azure Data Services or Snowflake are a plus. Advanced proficiency in modern data technologies such as Snowflake, DBT, and Azure Data Factory. Strong experience with SQL and data pipeline automation. Deep understanding of data governance frameworks, data quality management, and security protocols. Ability to collaborate across teams, communicate complex technical solutions, and drive consensus on best practices. Proven track record of designing and implementing cloud-based data architectures with a focus on scalability, security, and cost-efficiency. When you apply: If you require assistance or accommodation during our recruitment process, please notify Human Resources so that we can review and consider how we may be able to assist you based on your individual needs. We offer you Global Excel offers more than a position; We offer a competitive compensation package that includes a base salary, performance bonus and an extensive benefits package; A professional future with opportunities for development, growth, and advancement; RRSP Match program; Financial assistance to employees who wish to continue their education; Work/life balance, health and wellness initiatives including an excellent EAP program; Employee engagement programs that focus on fitness, food, and fun; Windsor, Ontario Candidates: base hourly salary scale ($35.06/hour - $46.00/hour). Relevant candidate experience considered; Other locations, salary to be discussed based on geographic differential. To get a taste of the Global Excel life and for more information on our company, visit our Facebook page and website:

What you’ll do

Design, implement, and maintain scalable data infrastructure using Snowflake and Azure Data Services. Drive the adoption of data engineering best practices and ensure compliance with data governance and security protocols.

Requirements

Requires a degree in computer engineering, mathematics, or data science with 4-6 years of professional experience. Proficiency in SQL, DBT, and Azure Data Factory is essential for building modern data pipelines.

Benefits

• Performance Bonus
• Extensive Benefits Package
• Professional Development Opportunities
• RRSP Match Program
• Financial Assistance For Education
• Work/Life Balance Initiatives
• Health And Wellness Initiatives
• Employee Assistance Program (EAP)
• Employee Engagement Programs

Listed skills

• Microsoft Azure · Preferred
• Compliance · Preferred
• management · Preferred
• Development · Preferred
• SQL · Preferred
• data management · Preferred
• Health · Preferred
• Microsoft Excel · Preferred
• Pipeline · Preferred
• Teams · Preferred
• Data analysis · Preferred
• future · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Snowflake
• Azure Data Services
• DBT
• Azure Data Factory
• SQL
• Data Modeling
• Data Pipeline Automation
• Data Governance
• ETL
• NoSQL
• Data Warehousing
• Data Lakes
• API Integration
• Metadata Management
• Data Quality Management
• Cloud Architecture

Job areas

• Data & Analytics
• Technology
• Software
• Engineering

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