Data Developer II- EN
- Sherbrooke, QC, Canada
Windsor, Ontario Candidates: base hourly salary scale ($35.06/hour - $46.00/hour). · Full-time
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Job details
- Pay
- Windsor, Ontario Candidates: base hourly salary scale ($35.06/hour - $46.00/hour).
- Job type
- Full-time
- Experience
- 4-6 years of professional experience in a related field.
- Posting language
- English
- Posted
Original job description
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?
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;
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.
- 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.
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.
More about this job
Responsibilities
As a Data Developer II, you will design, implement, and maintain data infrastructure and systems. You will also drive the adoption of best practices in data engineering and provide mentorship within the development team.
Requirements
Candidates should have a bachelor's or graduate degree in a related field and 4-6 years of professional experience. Proficiency in modern data technologies, cloud platforms, and data governance frameworks is essential.
Skills
- Data Engineering
- Cloud Platforms
- Data Modeling
- SQL
- Data Governance
- Data Quality Management
- Data Transformation
- ETL Tools
- APIs
- Data Integration
- Snowflake
- Azure Data Factory
- DBT
- Azure Storage
- Metadata Management
- Data Pipelines
Benefits
- Performance Bonus
- Extensive Benefits Package
- RRSP Match Program
- Financial Assistance for Education
- Work/Life Balance
- Health and Wellness Initiatives
- Employee Engagement Programs
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Engineering
Keywords
- Data Developer
- Data Infrastructure
- Cloud Platforms
- Data Solutions
- Data Pipelines
- Data Warehouses
- Data Lakes
- Snowflake
- Azure Data Services
- DBT
- Azure Data Factory
- Relational Databases
- NoSQL Databases
- ETL Tools
- Data Governance
- Data Quality
- Data Management
- Data Models
- Data Standards
- Data Classification
- Data Lineage
- Metadata Management
- APIs
- Data Integration
- SQL
- Automation
- Performance Bonus
- Health and Wellness
- Employee Engagement
- Education Assistance