Localiza&Co

Data Science Specialist – MLOps

Localiza&Co

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇧🇷 Brazil

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAmazon RedshiftAWSKubernetesPythonSparkSQLTerraform

About the role

  • Work focused on data engineering, especially DataOps and MLOps, ensuring the data ecosystem is robust, efficient, and reproducible for machine learning and generative AI projects;
  • Build and maintain data ingestion, monitoring, and automation processes, ensuring reliability, performance, and traceability of data across the platform;
  • Define standards, pipelines, and technical solutions to accelerate the creation of new data products, promoting standardization and component reuse;
  • Implement and maintain tools and infrastructure on AWS (such as S3, Lambda, Redshift, GuardDuty), and be proficient in concepts and technologies including data mesh, Python, Spark, SQL, DBT, Terraform, Kubernetes, Airflow, and CI/CD;
  • Identify bottlenecks, map the needs of AI teams, and propose evolutionary plans for the data platform, working proactively and collaboratively with other specialists.

Requirements

  • Hands-on experience with AWS and its core services (S3, Lambda, Redshift, GuardDuty, DataZone, etc.);
  • Experience with data mesh architecture and implementation of data pipelines;
  • Experience automating processes using Terraform and other infrastructure-as-code tools;
  • Programming in Python, Spark, and SQL, and using DBT for data transformations;
  • Experience with workflow orchestration (Airflow, Kubernetes) and CI/CD practices;
  • Knowledge of DataOps and MLOps, ensuring monitoring, performance, and data traceability;
  • Strong understanding of data governance, security, and quality policies, including LGPD, PCI, and EPIA;
  • Collaborative, curious, and adaptable profile suited to dynamic, fast-changing environments.
Benefits
  • Profit Sharing
  • Company Car
  • Meal Allowance
  • Meal Voucher
  • Health Insurance
  • Dental Insurance
  • Gympass
  • Private Pension Plan
  • Home Office Allowance
  • Allya
  • Unlimited access to courses from Localiza University
  • Internal training and development programs
  • Discounts on vehicle purchases and rentals

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringDataOpsMLOpsdata ingestiondata monitoringdata automationPythonSparkSQLDBT
Soft skills
collaborativecuriousadaptable