
Software Engineer, Data Pipelines
Are you passionate about creating efficient and scalable data pipelines? Do you enjoy working in a fast-paced, collaborative environment? Look no further! Lyft is seeking a highly skilled and motivated Software Engineer to join our team and help us build and maintain our data pipelines. In this role, you will have the opportunity to work on projects that directly impact our business and contribute to the growth and success of our company. We are looking for candidates with a strong background in software engineering and a deep understanding of data pipeline technologies. If you have a passion for solving complex problems and a drive to continuously innovate, we want to hear from you!
- Develop and maintain efficient and scalable data pipelines for Lyft's business operations.
- Collaborate with cross-functional teams to identify business needs and implement data solutions.
- Design, build, and deploy robust and reliable data pipelines using cutting-edge technologies.
- Optimize data processes to ensure high performance and scalability.
- Troubleshoot and resolve any issues with data pipelines in a timely manner.
- Monitor and maintain the health and integrity of data pipelines.
- Continuously improve data pipeline architecture and processes to meet changing business needs.
- Stay up-to-date with industry trends and advancements in data pipeline technologies.
- Collaborate with data scientists and analysts to understand data requirements and ensure accurate and timely delivery of data.
- Participate in code reviews and provide constructive feedback to team members.
- Proactively identify and address potential data pipeline issues or bottlenecks.
- Create and maintain documentation for data pipelines and related processes.
- Communicate effectively with team members and stakeholders to provide updates on data pipeline projects.
- Mentor and coach junior team members to help them grow their skills and knowledge in data pipeline development.
- Adhere to best practices and standards for data pipeline development and maintenance.
Proficiency In Programming Languages Such As Python, Java, Or Scala.
Experience With Distributed Systems And Big Data Technologies Like Hadoop, Spark, Or Kafka.
Knowledge Of Database Management And Sql.
Strong Understanding Of Data Structures, Algorithms, And Software Design Patterns.
Ability To Work With Cross-Functional Teams And Communicate Technical Concepts Effectively.
Sql
Python
Data Analysis
Big Data
Data Modeling
Distributed systems
Data warehousing
Data Manipulation
Data Visualization
Cloud Computing
ETL processes
Machine
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Software Engineer, Data Pipelines in Toronto, ON, Canada is C$ 72,000 - C$ 130,000 per year. However, this can vary depending on factors such as the specific company, years of experience, and education level.
Some companies that are currently hiring for this position in Toronto include Shopify, RBC, and Scotiabank, with reported salaries ranging from C$ 88,000 - C$ 140,000 per year.
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Lyft, Inc. is a transportation network company based in San Francisco, California and operating in 640 cities in the United States and 9 cities in Canada. It develops, markets, and operates the Lyft mobile app, offering car rides, scooters, and a bicycle-sharing system.

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