Data Engineer

hace 1 semana

Mar del Plata, Buenos Aires, Argentina Emi Labs A tiempo completo
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. Responsibilities
  • Data Infrastructure: Design, develop, and maintain scalable data pipelines and infrastructure to support real-time analytics, data-driven decision-making, and machine learning models.
  • Collaboration: Work closely with product, engineering, and leadership teams to ensure data-driven strategies are incorporated into product development and operational processes.
  • Data Governance: Establish and maintain robust data governance practices to ensure data quality, integrity, and compliance with relevant regulations.
What we're looking for
  • 5+ years of experience working in analytics or data engineering roles.
  • Strong technical skills in data engineering, data architecture, and analytics.
  • Proficiency in SQL, Python, R, cloud platforms (AWS, GCP, Azure), DBT, Airflow, and data visualization tools.
  • Development: testing, CI/CD, repository management, shell scripting, terminal usage, etc.
  • Proven ability to communicate complex analytical concepts in a clear and accessible way.
  • Proactive, curious mindset with a passion for using data to solve real business problems.
Nice to have
  • Airbyte, Cosmos.
  • AWS: RDS, Redshift, EKS, S3, ECR, IAM, Lambda, Route 53, SSM.
  • Infrastructure: Cost management, networking, virtualization, Kubernetes, Karpenter, Grafana.
  • Concepts of FinOps and DataOps.
What we offer
  • Competitive salary: Salaries paid in USD.
  • Stock Options: Stock Options Package as part of your compensation package.
  • Flexible remote-first work culture. We work towards goals*.
  • Vacations: 3 weeks of vacation.
  • Holiday season: Week off between Christmas and New Year's Eve.
  • Physical Wellness program: We have partnered up with Gympass, a well-being platform that offers the best coverage of top gyms, studios, and activities for you to choose from.
  • English Classes: Improve your English skills with our in-company teachers.
  • Internal library: Get all the free books - digital, physical - you like, anytime.
Emi Labs is committed to fostering a fair, inclusive, and equal work environment. We believe diversity is crucial to building the best team and solving Frontline Worker's access to professional opportunities, that is why Emi aims to be a leader in workplace equality and move both our company and the industry forward.
Emi is a very dynamic and new startup where growth opportunities are there for the taking We are just building a team with great impact so now is the best time to jump aboard Interested in knowing more about Emi Labs? - LinkedIn profile: - Web Page:
#LI-Remote  We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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