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A leading employee recognition company in Toronto is seeking a talented Senior Software Engineer to join their Data Infrastructure team. This role focuses on building and maintaining large-scale data pipelines on Google Cloud Platform. The ideal candidate has expertise in data warehousing and data lake concepts and will collaborate closely with Data Architects and Data Scientists to create robust data solutions.
About Achievers
Achievers offers more than just a thank you program. Our employee recognition and rewards software inspires employees to recognize everyone, every day, everywhere. With nearly 4 million global users, we empower employees across 170+ countries. Visit us at achievers.com to learn more and check out our platform in action. Join our team of A-players who bring passion to our purpose and believe that meaningful change creates extraordinary outcomes — together, we’ll inspire recognition everywhere and achieve results that matter.
Our commitment to you
At Achievers, we hire you for you because we value the unique perspective and individuality that each person brings to our team. We are committed to creating an inclusive, diverse, and equitable workplace where you belong, and your contributions are celebrated. Together, we achieve more by combining our unique strengths, fostering collaboration, and inspiring each other to reach new heights.
Are you a passionate Data Engineer with expertise in building and maintaining large-scale data pipelines? Do you thrive in a cloud environment and enjoy tackling complex data challenges? If so, we want you on our team!
We are seeking a talented Senior Software Engineer to join our growing Data Infrastructure team. In this role, you will leverage your past experiences and deep understanding of data warehousing and data lake concepts to help shape and execute Achievers’s roadmap technologies to design, develop, and maintain our data pipelines on Google Cloud Platform (GCP). You will collaborate closely with Data Architects and Data Scientists to translate business needs into robust and scalable data solutions.