Data Engineer, Decision Apps job opportunity at Lyft, Inc..



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Lyft, Inc. Data Engineer, Decision Apps
Experience: 3-years
Pattern: full-time
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Salary:
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Engineering

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loacation Toronto, Canada
loacation Toronto....Canada

Owner of core #business data pipelines, responsible for scaling up data processing flow to meet the rapid data growth of a dynamic rideshare business Continuously evolve data models and #schemas to meet business and #engineering requirements #Implement and maintain systems to monitor and enhance data quality and consistency Develop tools that support self-service management of data pipelines (ETL) and perform SQL tuning to optimize data processing performance Contribute to the Data Engineering team’s technical roadmap, ensuring alignment with team and stakeholder goals Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency Conduct code reviews to uphold code quality standards and facilitate knowledge sharing Participate in on-call rotations to maintain high availability and reliability of workflows and data pipelines #Collaborate with internal and external partners to remove blockers, provide support, and achieve resultsOwner of core business #data pipelines, responsible for scaling up data processing flow to meet the rapid data growth of a dynamic #rideshare business Continuously evolve data models and #schemas to meet business and engineering requirements Implement and maintain systems to monitor and enhance data quality and consistency Develop tools that support self-service management of data pipelines (ETL) and perform #SQL tuning to optimize data processing performance Contribute to the Data Engineering team’s technical roadmap, ensuring alignment with team and stakeholder goals Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency Conduct code reviews to uphold code quality standards and facilitate knowledge sharing Participate in on-call rotations to maintain high availability and reliability of workflows and data pipelines #Collaborate with internal and external partners to remove blockers, provide support, and achieve results

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