MidLevel Data Engineer

Accountabilities:

• • Develop and maintain data pipelines supporting data ingestion, transformation, and processing.
  • Build, optimize, and maintain data solutions using Python and SQL.
  • Work with multiple data sources to transform, clean, and prepare data for downstream consumption.
  • Monitor, troubleshoot, and continuously improve data pipelines to enhance reliability and performance.
  • Apply Git, GitHub, and CI/CD practices across development and deployment workflows.
  • Collaborate with Data Engineers, Analysts, and other stakeholders to understand requirements and deliver effective data solutions.
  • Contribute to improvements in data quality, performance, scalability, and reliability.
  • Participate in the adoption of modern data engineering practices and technologies.

  Requirements:

  • Professional experience as a Data Engineer, Data Developer, or in a comparable data-focused position.
  • Strong hands-on experience with Python.
  • Strong knowledge and practical experience with SQL.
  • Proven experience developing and maintaining data pipelines.
  • Experience with Git, GitHub, and CI/CD practices.
  • Advanced/Fluent English (C1 or higher), with the ability to communicate effectively in meetings, written exchanges, and discussions with international stakeholders.
  • Strong analytical and problem-solving capabilities.
  • Ability to collaborate effectively within a global and multicultural environment.
  • Familiarity with cloud-based data platforms and modern data engineering approaches is advantageous.
  • Experience with Azure, Databricks, and/or PySpark is considered a plus.

  Benefits:

  • 100% remote work environment in Brazil.
  • Health and dental insurance.
  • Meal and food allowance.
  • Childcare assistance.
  • Extended paternity leave.
  • Partnerships with gyms and health and wellness professionals through Wellhub and TotalPass.
  • Profit Sharing and Results Participation (PLR).
  • Life insurance.
  • Access to a continuous learning platform.
  • Discounts through a corporate discount club.
  • Free online resources focused on physical, mental, and overall well-being.
  • Pregnancy and responsible parenting courses.
  • Partnerships with online learning platforms.
  • Dedicated language-learning platform.
  • Access to inclusion specialists, health and well-being support, and employee affinity groups.
  • Opportunities to work on data-driven transformation projects for global clients.
  • Exposure to modern cloud, data, and AI technologies.
  • Continuous learning and technical development opportunities.