At Lyft, we are on a mission to improve people's lives with the world's best transportation. As a Data Engineer on our Marketplace team, you will play a crucial role in shaping the future of our platform by designing and building scalable, efficient data pipelines. We are looking for a highly skilled and motivated individual who is passionate about leveraging data to drive business decisions and create impactful experiences for our customers. If you are a self-starter with a strong technical background and a knack for problem-solving, we want you on our team. Join us in revolutionizing the way people move and make an impact on millions of lives every day.
- Design and build efficient and scalable data pipelines for the Lyft Marketplace platform.
- Utilize data to drive business decisions and create impactful experiences for customers.
- Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
- Develop and maintain data architecture and infrastructure to support data analytics and reporting.
- Ensure data quality and integrity through data validation and testing.
- Identify and troubleshoot complex data issues and provide timely resolutions.
- Optimize data processes and workflows for maximum efficiency.
- Stay up-to-date with industry trends and advancements in data engineering.
- Communicate effectively with team members and stakeholders to provide updates and insights.
- Proactively identify opportunities for improvement and propose innovative solutions.
- Develop and maintain documentation for data processes and systems.
- Mentor and support junior team members in their professional growth.
- Adhere to data security and privacy policies to maintain data compliance.
- Collaborate with other Data Engineers to share best practices and improve team productivity.
- Act as a technical lead for projects and initiatives related to data engineering on the Marketplace team.
Strong Coding Skills: A Data Engineer At Lyft Should Possess Excellent Coding Skills In Languages Such As Python, Sql, And Java. They Should Also Have A Good Understanding Of Software Engineering Principles And Best Practices For Writing Efficient And Scalable Code.
Experience With Big Data Technologies: The Ideal Candidate Should Have Experience Working With Large Volumes Of Data Using Big Data Technologies Such As Hadoop, Spark, And Kafka. They Should Also Have A Good Understanding Of Data Warehousing Concepts And Experience With Tools Like Redshift, Snowflake, Or Bigquery.
Data Modeling And Etl Experience: A Data Engineer Should Have A Strong Understanding Of Data Modeling And Experience With Etl Processes To Transform And Load Data From Various Sources Into A Data Warehouse. They Should Also Have Experience With Data Pipeline Orchestration Tools Like Airflow Or Luigi.
Knowledge Of Cloud Computing: With Lyft's Rapidly Growing Data Needs, Experience With Cloud Computing Platforms Such As Aws, Azure, Or Gcp Is Essential. The Candidate Should Have A Good Understanding Of Cloud Infrastructure And Be Able To Design And Implement Scalable Data Solutions On These Platforms.
Strong Analytical And Problem-Solving Skills: A Data Engineer Should Be Able To Analyze Complex Data Sets And Identify Trends And Patterns. They Should Have Strong Problem-Solving Skills To Troubleshoot And Resolve Data-Related Issues. Additionally, They Should Have A Good Understanding Of Data Governance And Data Security Principles To Ensure The Integrity And Confidentiality Of Data.
Sql
Data Analysis
Big Data
Data Modeling
Machine Learning
Data warehousing
Data Visualization
Cloud Computing
Database design
API
ETL (Extract, Transform, Load)
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer, Marketplace in Toronto, ON, Canada is $90,000-$120,000 per year. This can vary depending on the specific company, experience level, and skills of the individual.
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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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