IT Manager – Data & Analytics (Full Time) Mississauga, ON

Qualifications:

Basic

• Bachelors or Masters degree in Computer Science Engineering Information Systems or a related field.
• 5 years of professional experience in data engineering data architecture or a related domain.
• Proven experience working with Apache Spark for large-scale data processing (batch and streaming).
• Hands-on expertise with Microsoft Fabric (formerly Power BI Dataflows Data Factory within Fabric or similar cloud-based data integration platforms).
• Strong proficiency in SQL Python and/or Scala for data manipulation and ETL development.
• Experience with cloud platforms such as Microsoft Azure AWS or Google Cloud with a preference for Azure.
• Solid understanding of distributed systems data warehousing and data modeling concepts.
• Demonstrated ability to design implement and optimize ETL/ELT workflows.
• Knowledge of data governance principles and data quality management.
• Excellent problem-solving skills and meticulous attention to detail.

• Strong communication and teamwork abilities with a collaborative approach to project delivery.

Preferred

• Professional certifications in Apache Spark Azure Data Engineering or Microsoft Fabric/Power Platform.
• Experience with real-time data processing and streaming frameworks (e.g. Kafka Azure Event Hubs).
• Knowledge of DevOps practices for data pipelines including CI/CD automated testing and infrastructure as code.
• Experience with data visualization and reporting tools (e.g. Power BI Tableau).
• Data warehousing experience (design/maintenance/support)
• Minimum 3- 5 years SQL server experience
• Table creation/indexing/job scheduling/programming
• Adhoc reporting for business teams on demand
• Creation of SQL tables feeding PowerBI reports/applications
• Experience in Visual Studio
• Creating and modifying SSIS packages
• Deploying and scheduling SSIS packages to SQL server for scheduling
• IT Business Support
• Managing other IT related projects and providing support to the business teams as required

Linde has an extensive background check process which may include but is not limited to a criminal background review reference checks employment and education verification.

Linde Canada Inc. is committed to providing accommodations for people with disabilities. Applicants requiring accommodation during the recruitment and selection process are encouraged to make their needs known in advance if accommodation is required. We will work with you to meet your needs.

We are committed to employment equity for women aboriginal people visible minorities and persons with disabilities. Interested candidates from these groups are encouraged to apply.

All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin protected veteran status or disability status.

Linde is a leading global industrial gases and engineering company with 2024 sales of $33 billion. We live our mission of making our world more productive every day by providing high-quality solutions technologies and services which are making our customers more successful and helping to sustain and protect our planet.

The company serves a variety of end markets including chemicals & refining food & beverage electronics healthcare manufacturing and primary metals. Lindes industrial gases are used in countless applications from life-saving oxygen for hospitals to high-purity & specialty gases for electronics manufacturing hydrogen for clean fuels and much more. Linde also delivers state-of-the-art gas processing solutions to support customer expansion efficiency improvements and emissions reductions.

For more information about the company and its products and services please visit .

At Linde every day is an opportunity: an opportunity to learn to grow to share success and to contribute to one of the worlds leading industrial gas and engineering companies. Seize the opportunity: take your next step with us and join our team.

IT Manager Data & Analytics (Full Time) - Mississauga ON

This position reports into the Director IT Canada and is a key member of the Canada IT Organization helping the business make data driven decisions. Its an existing position with a minimum annual salary of $105500.

Position Description:

In this role we are seeking a talented and motivated Manager of Data & Analytics with hands-on experience in industry standard data platforms (Apache Spark and Microsoft Fabric to join our dynamic data engineering this role you will be at the heart of our data initiatives designing robust data pipelines optimizing data architectures and enabling data-driven decision-making across the organization.

The role would be expected to work independently and/or in conjunction with appropriate business unit/IT leaders or cross-functional teams during any engagement. They would be tasked with understanding technological and business problems and focused on delivering cutting-edge solutions. The Manager of Data and Analytics must possess the ability to architect or integrate the appropriate solution from the ground up based on a set of business requirements.

Key Responsibilities:

• Design and Develop Data Pipelines: Architect build and maintain scalable data pipelines leveraging Apache Spark and Microsoft Fabric to process large volumes of structured and unstructured data from diverse sources.
• Data Integration: Integrate data from internal and external sources ensuring accuracy consistency and reliability throughout the data lifecycle.
• Develop and Support reporting needs of the Canadian businesses
• Performance Optimization: Monitor and optimize ETL/ELT processes for performance scalability and cost-efficiency proactively identifying bottlenecks and implementing improvements.
• Data Quality and Governance: Implement best practices for data quality data cataloging and lineage and support governance policies to ensure compliance and high standards.
• Collaboration: Work closely with data scientists analysts business stakeholders and cross-functional IT teams to gather requirements deliver insights and support analytical models.
• Documentation: Prepare and maintain detailed documentation for data workflows pipeline architectures data schemas and processes.
• Continuous Improvement: Stay current with emerging trends and technologies in data engineering suggesting and implementing innovative solutions to enhance the data platform.
• Troubleshooting: Diagnose debug and resolve data pipeline and infrastructure issues to ensure robustness and reliability of the data ecosystem.
• Security: Adhere to and enforce data security and privacy guidelines ensuring sensitive data is handled appropriately.