About the company
Recognized as one of Canada’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, we’d love to hear from you.
Job Summary
Responsibilities:
📍Design, develop, and maintain scalable and efficient data pipelines and architectures. 📍Collaborate with data scientists and analysts to understand data requirements. 📍Implement ETL processes for data ingestion, transformation, and loading. 📍Ensure the quality, reliability, and integrity of the data infrastructure. 📍Optimize database performance and troubleshoot issues. 📍Collaborate with cross-functional teams to integrate data solutions into applications. 📍Design and implement data models, schema, and structures. 📍Stay updated on emerging data technologies, tools, and best practices. 📍Provide technical support and troubleshoot data-related issues.
Qualifications:
📍Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. 📍Proven experience as a Data Engineer or in a similar role. 📍Strong programming and scripting skills (e.g., Python, SQL). 📍Experience with data warehousing concepts and technologies. 📍Proficiency in database management systems (e.g., SQL Server, MySQL, PostgreSQL). 📍Knowledge of ETL tools and processes. 📍Understanding of big data technologies and distributed systems. 📍Excellent problem-solving and analytical skills. 📍Ability to work independently and collaboratively in a team.
