Data Engineer, Marketplace

🔥 0 minutes ago

🇺🇦 Ukraine – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

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• No salary listed.

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Lyft

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

📦 Logistics

✈️ Travel

🚗 Transport

💰 Post-IPO Equity on 2021-02

Logistics • Travel • Transport

Lyft is a transportation network company that offers ride-sharing services, allowing users to request rides through a mobile app. Founded in 2012, Lyft connects drivers with passengers, providing a convenient and efficient alternative to traditional taxi services. Lyft is committed to enhancing transportation accessibility and sustainability in urban areas.

📋 Description

• Own and evolve core data pipelines, ensuring resilience, optimal performance, timely delivery, data quality, and seamless onboarding of new features • Evolve data models and schemas to meet business and engineering requirements • Implement and maintain systems to monitor and enhance data quality and consistency • Develop self-service data pipeline (ETL) management tools and perform SQL tuning • Contribute to the Data Engineering team’s technical roadmap • Write clean, well-tested, maintainable, scalable, and cost-efficient code • Conduct code reviews and facilitate knowledge sharing • Participate in on-call rotations to maintain workflow and data pipeline availability and reliability • Collaborate with internal and external partners to remove blockers, provide support, and achieve results • Design data models and architectures with Analytics, Data Science, and Engineering partners for financial, pricing, and driver-related metrics

🎯 Requirements

• 5+ years of professional experience in data engineering as a hands-on Individual Contributor delivering features end-to-end • Proven ability to collaborate with cross-functional stakeholders (analytics, science, product, and engineering) to align data solutions with business objectives • Proficient in data validation, analysis, and visualization for clear insight presentation • Skilled in designing complex data models and resilient data pipelines, with solid understanding of analytical data modeling • Expertise in advanced SQL, capable of understanding intricate business logic and implementing custom solutions • Strong algorithmic foundation and hands-on coding skills in Python, Java, or similar languages • Deep understanding of MPP systems and hands-on experience with ETL in Spark or similar technologies • Familiarity with data system design principles for data-intensive applications • Practical experience with workflow management tools (e.g., Airflow, Flyte, etc.) • Employees are required to live and work in Ukraine in order to be qualified for this position

🏖️ Benefits

• Professional and stable working environment. • The latest technology and equipment you need. • Potential to work remotely, including out of country (dependent on work authorizations). • 28 calendar days for vacation and up to 5 paid sick days. • 18 weeks of paid parental leave. Biological, adoptive and foster parents are all eligible. • Mental health benefits. • Family building benefits.

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