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Launchpad Technologies
Senior Data Engineer
4 months ago | 163 views | 5 applications

Senior Data Engineer

Full-time
Remote
Per year
$98,000 To $110,000

About the company

Recognized as one of Canadaā€™s fastest-growing companies, Launchpad provides next-generation integration platform capabilities for connecting and managing enterprise automation and data integration. Headquartered in Vancouver, Canada, our operations span both North and South Americas, with a second headquarter located in Santiago, Chile. In 2021, we were recognized as the winner of the BC Tech Associations Technology Impact Awards 'Company of The Year: Growth'. We recognize the global truth that today, every company is a tech company. To succeed, every company everywhere needs their data and workflows to be integrated and automated. That understanding gave us the confidence to compete with our sector's leading providers, win top-level contracts, and build a truly world-class list of clients that includes Walmart, GM, TIME Magazine, Salesforce, Tableau, Splunk, Bolt.com, Freedom House, and more. Our vision is to bring people and technology together to work seamlessly to achieve extraordinary business outcomes and create more efficient societies. If this sounds like something you want to be part of, weā€™d love to hear from you.

Job Summary

Responsibilities:

šŸ“Lead the assessment of current data environment, focusing on the Microsoft data stack (Azure, SQL Server). šŸ“Evaluate and address technical debt, ensuring a smooth consolidation process. šŸ“Architect and implement a robust SQL consolidation strategy. šŸ“Collaborate with stakeholders to define project scope, timelines, and deliverables. šŸ“Provide knowledge transfer and mentorship to junior data engineers and other team members. šŸ“Ensure that data integrity, security, and performance standards are met throughout the project.

Qualifications:

šŸ“Extensive experience with Microsoft data technologies, including Azure and SQL Server. šŸ“Proven track record of successfully leading large-scale data consolidation projects. šŸ“Strong understanding of data architecture, ETL processes, and database optimization. šŸ“Excellent problem-solving and communication skills. šŸ“Experience with knowledge transfer and team mentorship. šŸ“Ability to work independently and manage multiple tasks simultaneously.

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