Engenheiro(a) de Dados e Analytics PLENO in Brazil at Jobgether

• 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.

• 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.

• 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.