About the company
Recognized as one of Canadaās 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, weād love to hear from you.
Job Summary
Responsibilities:
šDesign, develop, and maintain scalable and efficient data pipelines and architectures. šCollaborate with data scientists and analysts to understand data requirements. šImplement ETL processes for data ingestion, transformation, and loading. šEnsure the quality, reliability, and integrity of the data infrastructure. šOptimize database performance and troubleshoot issues. šCollaborate with cross-functional teams to integrate data solutions into applications. šDesign and implement data models, schema, and structures. šStay updated on emerging data technologies, tools, and best practices. šProvide technical support and troubleshoot data-related issues.
Qualifications:
šBachelor's or Master's degree in Computer Science, Information Technology, or a related field. šProven experience as a Data Engineer or in a similar role. šStrong programming and scripting skills (e.g., Python, SQL). šExperience with data warehousing concepts and technologies. šProficiency in database management systems (e.g., SQL Server, MySQL, PostgreSQL). šKnowledge of ETL tools and processes. šUnderstanding of big data technologies and distributed systems. šExcellent problem-solving and analytical skills. šAbility to work independently and collaboratively in a team.
