:
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 team. In 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.
Qualifications:
Basic
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.
