Data Engineer 2/3 ans exp - école ingé
CDI Paris (Paris) IT development
Job description
À propos
Transform Data, Shape Fashion: Join Livetrend's AI-Powered Sustainable Journey!
Livetrend is positioning itself at the forefront of the data revolution, making it the ultimate destination for data engineers eager to tackle cutting-edge challenges in artificial intelligence. At Livetrend, you'll dive deep into robust data pipelines and state-of-the-art distributed systems that not only handle massive volumes of data but also set the stage for advanced AI innovations. Additionally, our platform is designed with sustainability in mind: by transforming complex data into strategic insights, we empower fashion brands to produce fewer and higher-quality collections. This approach significantly reduces waste in an industry notorious for its environmental impact, ensuring that technological advancement goes hand in hand with responsible production.
Descriptif du poste
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Work on processing, structuring, and transforming large-scale data.
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Ensure data quality, security, and compliance are maintained throughout the lifecycle of the pipelines.
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Optimize Data Engineering & Cloud architecture.
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Design and implement data pipelines and workflows using Python / SQL .
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Contribute to the industrialization, production deployment, and cloud rollout of these models.
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Collaborate closely with Data Scientists who are responsible for developing and maintaining web scraping pipelines (using tools like Scrapy and BeautifulSoup ) to extract unstructured data from diverse online sources.
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Collaborate closely with business teams, including the Fashion Insight group (fashion trend experts), to address everyday challenges.
Profil recherché
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Graduate from an engineering or computer science school.
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At least 2-3 years of experience as an Analytics Engineer or Data Engineer .
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Experience with deployment and industrialization of ML models.
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Expertise in Python, SQL, and Prefect for automating and orchestrating data pipelines.
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Solid experience with technologies like Spark .
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Prior experience in a cloud environment, ideally AWS or GCP .
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Familiarity with web scraping techniques is a plus; however, you'll work closely with Data Scientists who lead web scraping initiatives using frameworks like Scrapy and BeautifulSoup .
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Curious and proactive.
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Professional-level English (to thrive in our international team).
Process de recrutement
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Chat with the CPO and Lead Engineer
Kicking things off, you'll have a no-nonsense conversation with our CPO and lead engineer. Expect a deep dive into our tech, a taste of our culture, and a reality check on what it takes to work here.
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Technical "Test" (aka Geek Session)
Skip the nerve-wracking exams—this test is really an excuse to nerd out together. We'll riff on your technical know-how and problem-solving chops in a relaxed, candid exchange.
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Meet the CEO
Finally, you'll sit down with our head honcho. It’s not a formality; it's a straight-up conversation about vision, ambitions, and whether you’ve got the guts to challenge the status quo.
Informations complémentaires
· Type de contrat : CDI
· Lieu : Paris
· Niveau d'études : Bac +5 / Master
· Expérience : > 3 ans
· Télétravail partiel possible
· Salaire : entre 40000 et 50000 / mois