The friendly ride-sharing alternative to Uber
Lyft, headquartered in San Francisco, CA, is a leading ride-sharing company focused on improving transportation experiences in the U.S. and Canada. With over 100 million rides completed and $4.9 billion raised in funding, Lyft aims to provide a more reliable and environmentally friendly alternative ...
Lyft offers a comprehensive benefits package including unlimited paid time off for salaried employees, 15 days PTO for hourly team members, and 18 wee...
Lyft fosters a culture focused on reliability and friendliness, positioning itself as a greener alternative to Uber. The company emphasizes local oper...
Lyft • Toronto, Canada
Lyft is hiring a Data Engineer to develop robust data infrastructure and scalable data pipelines. You'll work with technologies like AWS, Kubernetes, and Apache Airflow to support data processing and analytics needs. This role requires experience in data engineering and a strong understanding of data systems.
You have a strong background in data engineering, with experience in developing data infrastructure that supports analytics and decision-making. You understand the importance of data transport, collection, and storage, and you are skilled in building scalable data pipelines that can handle large volumes of data. You thrive in collaborative environments, working closely with teams across analytics, data science, and engineering to deliver insights that drive business decisions.
You are familiar with cloud technologies, particularly AWS, and have hands-on experience with orchestration tools like Kubernetes. Your expertise in Apache Airflow allows you to design and manage complex workflows efficiently. You are detail-oriented and understand the nuances of data quality and integrity, ensuring that the data you work with is reliable and actionable.
As a Data Engineer at Lyft, you will be responsible for architecting and building data pipelines that support the company's growing data processing needs. You will collaborate with various teams to understand their data requirements and ensure that the infrastructure you develop meets their needs. Your work will involve processing millions of rides and analyzing traffic information to provide insights that enhance user experience.
You will also be tasked with maintaining and optimizing existing data systems, ensuring they are efficient and scalable. This includes monitoring data flows, troubleshooting issues, and implementing improvements as necessary. You will play a key role in enabling data-driven decision-making across the organization, providing leadership with the insights they need to make informed choices.
At Lyft, we foster a culture of belonging and support, where every team member has the opportunity to thrive. You will work alongside talented colleagues who are passionate about using data to improve transportation solutions for millions of users. We offer competitive compensation and benefits, along with opportunities for professional growth and development within the company. Join us in making a meaningful impact on how people move around their cities.
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