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Emi Labs

AI-powered recruitment automation for frontline

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBuenos Aires Province, ArgentinaHybrid

About the Job

Requirements

  • At least 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.
  • Experience with development practices and tools including testing, CI/CD, repository management, shell scripting, and terminal usage.
  • Ability to communicate complex analytical concepts clearly and accessibly.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and infrastructure to support real-time analytics, data-driven decision-making, and machine learning models.
  • Work closely with product, engineering, and leadership teams to incorporate data-driven strategies into product development and operational processes.
  • Establish and maintain data governance practices to ensure data quality, integrity, and compliance with relevant regulations.

Desired Qualifications

  • Experience with Airbyte and Cosmos.
  • Experience with AWS services including RDS, Redshift, EKS, S3, ECR, IAM, Lambda, Route 53, and SSM.
  • Knowledge of infrastructure cost management, networking, virtualization, Kubernetes, Karpenter, and Grafana.
  • Knowledge of FinOps and DataOps concepts.

About the Company

Emi Labs

AI-powered recruitment automation for frontline

Emi Labs offers a SaaS recruitment automation platform for high-volume frontline hiring. Its AI-powered system uses a conversational interface on messaging apps (like WhatsApp and Facebook Messenger) to screen candidates, schedule interviews, collect documents, and onboard hires, with real-time analytics and dashboards, and it integrates with existing HR systems such as SAP SuccessFactors. The platform helps large enterprises in sectors like retail, logistics, food service, and manufacturing run faster, more productive recruiting workflows. The goal is to shorten time-to-hire, improve recruiter efficiency and candidate experience, and support better retention for global brands.

Company size
51-200
Company stage
Series A
Total funding
$13.1M
Headquarters
Capital, Argentina
Founded
2017

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