Data Engineer

Emilabs · Buenos Aires Provincemid

In short

▸Construir y mantener infraestructura de datos escalable para hacer visible a trabajadores de primera línea.
▸Trabajar con equipo multidisciplinario para transformar datos en insights accionables para producto y negocio.
▸Destacado: trabajar en un proyecto con impacto social global y tecnología de vanguardia en IA para reclutamiento.

Fluent English required

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What they ask for

✓Experiencia en desarrollo de pipelines de datos
✓Conocimiento en ETL y transformación de datos
✓Familiaridad con bases de datos SQL y NoSQL
✓Capacidad para trabajar con grandes volúmenes de datos
✓Colaboración estrecha con equipos de producto y análisis
✓Inglés avanzado para comunicación en equipo internacional

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Who should you write to at Emilabs?

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At Emi Labs we are on a mission to increase Frontline Workers’ access to professional opportunities. This is a 2.7 billion population that accounts for 80% of the world’s workforce. They are digitally invisible, as there’s little to no data available on who they are, their career history, or their skill set, limiting their access to professional opportunities and growth. We're here to transform this by building the infrastructure to make Frontline Workers visible. Our first step to achieving our mission is to transform the recruiting experience into an easy, human and fair process, for both candidates and companies with high-volume job openings. Emi, our main product, is an A.I. recruitment assistant that enables companies to engage in a conversation with each applicant to detect interested and qualified individuals while saving Recruiters a huge amount of time by automating tasks such as screening, validating skills, scheduling interviews, and collecting documents. We were part of Y-Combinator's Winter 2019 batch and in 2022 we have raised an $11M funding round co-led by Merus Capital and Khosla Ventures. About the role We’re looking for a Data Engineer to join our data team and help us empower decision-making with high-quality data and insightful analysis. You will work closely with stakeholders across teams to design and build scalable data solutions.

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