Mid-Level Engineer Pleno

Team: IT

Location: Brazil

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Develop and maintain analytical data models, ensuring data quality, governance, consistency, and reliability.
• Build and maintain data transformation pipelines using advanced SQL.
• Collaborate with data engineering, product, and business teams within a Data Mesh architecture.
• Work with modern data platforms and technologies, including Delta Lake and Databricks.
• Apply code versioning and repository management best practices, contributing to effective peer review processes.
• Participate actively in Agile ceremonies, contributing to planning, collaboration, delivery, and continuous improvement.
• Support the development of scalable and reliable data solutions while maintaining strong engineering and data management practices.
• Contribute to initiatives involving modern data engineering approaches, including Infrastructure as Code and streaming workflows where applicable.

Requirements:

• Professional experience working with data engineering, analytical data models, or related data-focused engineering activities.
• Knowledge of Delta Lake and Data Mesh concepts and architectures.
• Advanced knowledge of SQL, with practical experience building data transformations and working with analytical datasets.
• Basic knowledge of Python and its application in data engineering workflows.
• Intermediate knowledge of Databricks.
• Experience using code versioning systems and working with repositories and collaborative development practices.
• Practical experience working within Agile methodologies and participating in Agile team ceremonies.
• Strong analytical and problem-solving skills, with attention to data quality, reliability, and governance.
• Ability to collaborate effectively with data, engineering, product, and business stakeholders.
• dbt experience is a plus.
• Knowledge of Infrastructure as Code, particularly Terraform or Databricks Declarative Automation Bundles, is desirable.
• Experience with streaming workflows is an additional advantage.

Benefits:

• Fully remote work arrangement within Brazil.
• Health and dental insurance.
• Meal and food allowance.
• Childcare assistance.
• Extended parental leave.
• Access to fitness and health and wellness professionals through Wellhub and TotalPass.
• Profit Sharing and Results Program (PLR).
• Life insurance.
• Continuous learning and professional development opportunities.
• Access to online courses and language-learning platforms.
• Discount club and partner benefits.
• Free online resources focused on physical health, mental health, and overall well-being.
• Pregnancy and responsible parenting support courses.
• Access to a collaborative, data-driven environment.
• Exposure to modern data technologies and large-scale data environments.
• Opportunities to work with decentralized Data Mesh architecture.
• Candidates residing in the Campinas Metropolitan Region are required to work from local offices in accordance with the applicable attendance policy.