Engenheiro de Dados

Accountabilities

• Design, build, and evolve data architectures across data warehouses, data lakes, and lakehouse environments to support current and future business needs.

• Develop, maintain, and optimize robust, scalable ETL/ELT workflows for data ingestion, transformation, and delivery.

• Design and implement reliable data pipelines, ensuring efficient processing and consistent access to high-quality data.

• Model databases using established design principles and dimensional modeling techniques, including the Kimball methodology.

• Configure, maintain, and improve data infrastructure within AWS cloud environments, supporting the stability and evolution of existing systems.

• Orchestrate data workflows using dbt and Prefect, improving automation, maintainability, and operational efficiency.

• Work with database and data warehouse technologies, including PostgreSQL, Amazon Redshift, and Snowflake, as applicable to the architecture.

• Monitor and improve the availability, performance, reliability, and quality of data systems.

• Establish and maintain data governance practices, promote engineering standards, and implement processes that strengthen data quality.

• Support governance and back-office teams by maintaining dependable data structures and facilitating access to relevant information.

• Collaborate with marketing, sales, technology, and other business functions to understand requirements and deliver appropriate data solutions.

• Develop automations, dashboards, and metrics that address business needs and help teams make informed decisions.

• Translate business rules and operational requirements into effective technical data models and engineering solutions.

Requirements:

• A completed or ongoing university degree in Computer Science, Computer Engineering, Mathematics, Engineering, or a related field.

• Solid experience with SQL and programming, preferably Python, to develop and maintain data processing solutions.

• Practical experience working with PostgreSQL, including database operations and data modeling.

• Knowledge and experience with AWS infrastructure in data engineering environments.

• Proficiency with data workflow orchestration and transformation tools, particularly Prefect and dbt.

• Understanding of data pipeline development, ETL/ELT processes, and scalable data engineering practices.

• Familiarity with data warehouse, data lake, and lakehouse architectures, including the design and modeling of data structures.

• Knowledge of database modeling principles and dimensional modeling methodologies, particularly Kimball, is an advantage.

• Experience with cloud data warehouse platforms such as Snowflake or Amazon Redshift is desirable.

• Understanding of data solution architecture and the ability to contribute to reliable, maintainable, and scalable systems.

• Strong analytical and problem-solving skills, with attention to data quality, performance, and technical reliability.

• Effective communication and collaboration skills, including the ability to work with technical teams and non-technical stakeholders.

• Ability to translate business requirements into practical technical solutions and contribute to continuous improvement.

Benefits:

• Fully remote work:Work remotely from Brazil.

• Home office allowance:Financial support for working from home.

• Meal and food allowances:Access to meal and food benefits.

• Healthcare coverage:Medical and dental insurance premiums fully paid by the company.

• Wellhub membership:Access to a fitness and wellness network offering more than 250 activity types across a broad network of gyms.

• Results-sharing program:Participation in a program linked to the achievement of objectives and business goals.

• Birthday leave:One day off during your birthday month.

• Education assistance:Financial support for undergraduate studies, language courses, and postgraduate education, along with discounts at partner institutions.

• Life insurance:Coverage provided as part of the benefits package.

• Salary:No salary range was disclosed in the provided job description.