About The Position

LOCALIZA&CO is constantly evolving, and we are looking for talented individuals with multiple skills to join us in our mission to build the future of sustainable mobility. We value individuality to drive extraordinary results, develop our operations, and create solutions for our clients. We are passionate about our history, our ideas, and our ability to execute them. We know that together, we go further. This is how we connect Localiza&Co with the future.

Requirements

  • Experience with Data Modeling
  • Experience with Data Programming Languages (Python, R, Scala)
  • Experience with SQL Databases
  • Develop and maintain ETLs, ELTs, and Pipelines
  • Knowledge of data architecture and processing in a cloud environment
  • Knowledge of Data Infrastructure
  • Agile Methodology
  • Data Administration and Governance
  • Ability to work independently and in a group

Nice To Haves

  • Previous experience in Data Engineering, Big Data Management (with massively parallel processing), and interdisciplinary research
  • Knowledge of dimensional modeling, BI, and Data Warehouse
  • Specific knowledge in a cloud environment (GCP, AWS, and/or Azure) is desirable
  • Knowledge of the Power BI visualization tool
  • Knowledge of Spark and Airflow tools

Responsibilities

  • Develop and implement solutions for managing, processing, and analyzing large volumes of data.
  • Feed Data Science and Artificial Intelligence models.
  • Enable direct data analysis by business users.
  • Collaborate closely with Data Science and Analytics teams and business users to support their analyses.
  • Handle large data volumes, integrate diverse data sources, and process data at high speeds to create competitive advantages for the Company through intensive data usage.

Benefits

  • Profit Sharing
  • Meal Voucher
  • Food Voucher
  • Medical Plan
  • Dental Plan
  • Gympass
  • Private Pension
  • Home Office Assistance
  • Allya
  • Unlimited access to various courses from our Localiza University
  • Internal training and development programs
  • Discount on vehicle purchase and rental
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