Senior Data Engineer

Global Excel Management Inc.; Windsor; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading company in data management is seeking a Data Developer II to design and maintain their data infrastructure. The ideal candidate will have experience in building scalable data solutions using modern technologies like Snowflake and Azure. This role offers competitive compensation and opportunities for growth within a supportive environment.

Benefits

Competitive compensation

Performance bonus

Benefits package

Qualifications

• 4-6 years of professional experience in data engineering or related areas.
• Experience with relational and NoSQL databases.
• Strong proficiency in SQL and data pipeline automation.

Responsibilities

• Design, develop, and maintain data pipelines, data warehouses, and data lakes.
• Collaborate with business and data teams to translate requirements into efficient data models.
• Implement automated data quality checks using tools like DBT tests.

Skills

SQL

Data Governance

Data Quality Management

Collaboration

Communication

Education

Bachelor's or master's degree in computer engineering, mathematics, data science, or related fields

Tools

Snowflake

Azure Data Services

DBT

Azure Data Factory

MS SQL Server

PostgreSQL

MariaDB

Airflow

Informatica

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 focus on 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. This role involves promoting best practices in data engineering, fostering a data-centric culture, and mentoring team members.

What does your typical day look like?

• Design, develop, and maintain data pipelines, data warehouses, and data lakes using Snowflake and Azure Data Services.
• Architect data solutions leveraging DBT and Azure Data Factory for data transformation and pipeline orchestration.
• Collaborate with business and data teams to translate requirements into efficient data models, ensuring compliance with governance and architecture standards.
• Utilize cloud-native data services, including Azure Storage, to optimize data management and scalability.
• Implement automated data quality checks using tools like DBT tests.
• Enforce data governance policies to ensure data quality, consistency, and compliance.
• Develop and maintain data dictionaries, lineage, and metadata management processes.
• Work with stakeholders to define data standards, naming conventions, and classification.

What skills and training do you need?

• Bachelor's or master's degree in computer engineering, mathematics, data science, or related fields.
• 4-6 years of professional experience in data engineering or related areas.
• Experience with relational and NoSQL databases (e.g., MS SQL Server, Snowflake, PostgreSQL, MariaDB).
• Proficiency with cloud platforms (preferably Azure) and cloud data services.
• Experience with data modeling and transformation tools like DBT.
• Experience with 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 advantageous.
• Strong proficiency in SQL and data pipeline automation.
• Understanding of data governance, data quality management, and security protocols.
• Excellent collaboration, communication, and consensus-building skills.
• Experience designing and implementing scalable, secure, and cost-efficient cloud data architectures.

When you apply:

If you need assistance or accommodations during the recruitment process, please notify Human Resources so we can support your needs.

We offer you

• More than a position, we offer a professional future with competitive compensation, including base salary, performance bonus, and benefits.
• Contact your local HR department for details about benefits in your location.

Learn more about us

Visit our Facebook page and website for insights into the Global Excel life and our company culture.