Engenheiro(a) de Dados e Analytics PLENO

Accountabilities:

• • Participate in inception and refinement sessions, helping understand business and technical requirements and define appropriate data solutions.
  • Develop, maintain, and improve scalable, performant data pipelines and engineering solutions.
  • Use Python and SQL for data engineering, transformation, exploration, and analysis.
  • Perform exploratory data analysis (EDA) and data curation to identify patterns, inconsistencies, and opportunities for improvement.
  • Support the evaluation of the quality and accuracy of AI models and data-driven solutions.
  • Document analyses, technical decisions, and results, communicating insights effectively to both technical and business stakeholders.
  • Collaborate with multidisciplinary teams, sharing knowledge and contributing to the technical development of other professionals.
  • Apply software engineering best practices, including Clean Code, Git, version control, CI/CD, and quality assurance.
  • Contribute to the continuous improvement, reliability, scalability, and performance of data solutions.

  Requirements:

  • Solid professional experience with Python applied to Data Engineering and Data Analytics.
  • Strong knowledge of SQL and data modeling.
  • Experience with exploratory data analysis (EDA) and data investigation.
  • Experience or working knowledge of Azure Databricks and Azure Data Factory.
  • Knowledge of cloud environments, particularly Azure or AWS, with an emphasis on data services.
  • Experience with Git and CI/CD processes.
  • Knowledge of Docker and containerization.
  • Practical experience applying Clean Code and software development best practices.
  • Ability to collaborate effectively with multidisciplinary teams and communicate technical solutions to different audiences.
  • Analytical, proactive, autonomous, and collaborative mindset, with genuine curiosity and willingness to continuously learn.

  Nice to have:

  • Experience developing or deploying AI/ML solutions.
  • Knowledge of LLMs, LangChain, and Prompt Engineering.
  • Experience evaluating language models and working with relevant evaluation metrics or frameworks.
  • Knowledge of MLflow or experiment-tracking and versioning tools.
  • Experience with Data Quality and Data Lineage.
  • Knowledge of Kubernetes.
  • Experience with Power BI or other data visualization tools.
  • Experience with data annotation and curation tools for AI applications.

  Benefits:

  • 100% remote work, with office attendance required for professionals residing in the Campinas Metropolitan Region, according to the applicable workplace policy.
  • Health and dental insurance.
  • Meal and food allowance.
  • Childcare assistance.
  • Extended parental 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.
  • Partnerships with online learning platforms and a dedicated language-learning platform.
  • Discount club.
  • Free online platform focused on physical health, mental health, and overall well-being.
  • Pregnancy and responsible parenting course.
  • Opportunity to work on global Data and AI projects using modern Cloud, Data Engineering, and AI technologies.
  • Collaborative environment focused on continuous learning, innovation, and technical growth.
  • Inclusion support, with dedicated health and well-being teams, inclusion specialists, and affinity groups.