Engenheiro de Dados Sr

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Develop, implement, and maintain data ingestion, transformation, and availability pipelines;

• Construct and enhance integration processes between various internal and external data sources;

• Create and sustain conceptual, logical, and physical data models, ensuring an appropriate structure for data storage and consumption;

• Conduct data treatment, consolidation, and enrichment to support the analytical and operational needs of the business;

• Ensure the quality, integrity, availability, and traceability of data through controls, validations, and continuous monitoring;

• Integrate data from databases, APIs, corporate systems, cloud platforms, and other information sources;

• Make data available for consumption by business areas, Analytics, Business Intelligence, Data Science, and Artificial Intelligence;

• Support data governance initiatives, information standardization, and the evolution of corporate data architecture;

• Contribute to the continuous improvement of processes, tools, methodologies, and data engineering solutions;

• Participate in the assessment and implementation of new technologies related to data management, processing, and storage;

• Gather, understand, and translate business needs into data solutions;

• Collaborate effectively with multidisciplinary teams, contributing to knowledge sharing and the advancement of area practices;

⛳️ Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Statistics, Computational Mathematics, or related fields.

• Strong experience in relational, hierarchical, and analytical data modeling.

• Advanced proficiency in SQL and Python for developing data solutions.

• Experience in building, optimizing, and sustaining scalable data pipelines.

• Experience in integrating multiple data sources through APIs, corporate systems, and Cloud platforms.

• Experience with relational databases, including DML, DDL, and Stored Procedures.

• Knowledge of data governance, quality, monitoring, and observability.

• Ability to assess, recommend, and implement technical solutions for complex scenarios.

• Experience with data architecture and solution design in corporate environments.

• Ability to work autonomously in low-definition scenarios, supporting technical decisions and the evolution of data engineering practices.

• **Desirable:**

• Knowledge of PL/SQL (Oracle) and/or PG/SQL (PostgreSQL).

• Experience in modeling and optimizing analytical data in non-relational databases.

• Experience with Cloud platforms (AWS, OCI).

• Experience with geospatial data, including modeling, processing, and spatial analysis.

• Experience with sensor data and IoT.

• Knowledge of Apache Spark and/or Apache Flink.

• Familiarity with data preparation for Machine Learning.

• Knowledge of automated testing and data quality.

• Experience serving as a technical reference or mentor for data teams.

• Knowledge of modern data architectures (Data Lake, Data Warehouse, and Lakehouse).

• Experience with orchestration tools and distributed data processing.

🏝️ Benefits

• Meal or Food Allowance

• Unimed Health Plan (Family)

• Odontoprev Dental Plan (Family)

• Medipreço Medication Plan

• PET Plan

• Life Insurance

• PPR (Profit Sharing Program)

• Wellhub Partnership (Gympass)

• Childcare Assistance

• Health and Wellness Program (*Solinfcare*)

• Corporate University (*SolinfAcademy*)