Senior Data Engineer

Summary

Join us as we grow our way into a future that reimagines what it means to deliver meaningful benefits support and service.

Requirements

• A bachelor's degree, preferably in Computer Science, Information Systems Management, Engineering or similar discipline; supported by experience in a similar technical environment
• 5+ years of experience working as Data Engineer in Azure data platform
• Hands on experience in developing and orchestrating pipelines using ADF
• Must have successfully completed at least 1 Data migration from On-Prem to any Public Cloud
• Solid understanding of relational databases, best practices around data manipulation, data storage and data modelling
• Understanding of any Business Intelligence Reporting tool, preferably Power BI
• Handson Experience in Microsoft Data Technologies like SSIS, SSRS, SSAS
• Strong technical skills in SQL, Python, Spark
• Knowledge or Experience in Azure DevOps, ADO and Azure Databricks is an asset
• Highly analytical individual with advanced problem-solving skills and strong attention to detail
• Capable of delivering on multiple competing priorities with little supervision
• Excellent verbal and written communication skills
• Experience working in Scrum/Agile delivery methodologies is an asset

Responsibilities

• Reporting to the Senior Manager – Data Management, you’ll be accountable for building, maintaining and enhancing Azure data pipelines for various analytical and operational use cases
• The Senior Data engineer is also responsible for leading the delivery of Data migration, Data warehousing and Master data management solutions in Azure cloud
• Develop Data pipelines using Azure Data platform stack (Azure data factory, Databricks, Azure logic apps, ADLS Gen2)
• Design Data Models for Operational and Analytical reporting
• Implement CI/CD pipelines that enables automated code deployment
• Convert Existing SSIS Packages to ADF and craft cloud native solutions for existing and new Datawarehouse
• Monitor Data Pipelines, making sure pipelines run within SLA ensuring robustness and security
• Support the delivery of data architecture and solutions for critical platform portfolio projects in collaboration with business and Technology stakeholders
• Lead Data Migration from On-Prem to Cloud ensuring solutions adhere to OTIP Architecture
• Lead and mentor Data Engineers
• Effectively Collaborate with various teams and partners within the Organization
• Support compliance with data stewardship standards and data security procedures

Benefits

• Rewarding salary and bonuses that truly value your dedication
• Industry-leading group benefits with 100% premium coverage (excluding LTD) that start on your first day
• Defined benefit pension plan for a financially confident retirement
• 100% coverage of approved continuing education and licensing fees (including RIBO courses in Ontario)
• Access to a wealth of learning resources, including LinkedIn Learning for professional development
• Flexible work-from-home and hybrid options
• Unlock your potential with opportunities for advancement