Data engineer

We are GuestWorld, a company specializing in outsourcing and human resources development. We are guided by a culture of excellence and promote a positive environment, aligning our clients' objectives with the motivation of our people. We focus on effective solutions, continuous training, and partnerships based on trust and value creation.

• Contribute to defining and implementing the data strategy and related governance policies, ensuring the quality, security, consistency, and compliance of information;
• Design, implement, and evolve data architectures and models, ensuring scalability, performance, and alignment with business needs and the technology architecture;
• Develop and maintain data ingestion, transformation, and delivery pipelines, promoting process automation, reuse, and efficiency;
• Implement data engineering solutions and frameworks, ensuring the integration of different information sources and the availability of data for analytical exploration;
• Ensure data metadata management, cataloging, quality, and traceability, promoting the consistency and reliability of information;
• Implement DataOps and continuous integration and delivery practices, ensuring the monitoring, maintenance, and optimization of data platforms and solutions;
• Collaborate with technical and business teams, promoting good practices in information management and use and the continuous improvement of data solutions.

• At least 3 years of experience in data engineering, with a broad understanding of architecture and governance;
• Knowledge of modern data architectures, namely Data Lake, Data Warehouse, and Lakehouse, and distributed processing platforms (Databricks, Spark, Azure Synapse, or Microsoft Fabric);
• Experience developing data solutions using SQL and programming languages such as Python and PySpark;
• Knowledge of data ingestion and transformation frameworks, information modeling, and pipeline development;
• Knowledge of Data Governance, data quality, metadata management, and Master Data Management practices;
• Experience with Agile methodologies and DataOps/DevSecOps practices, including CI/CD, automation, version control, and monitoring;
• Knowledge of security, privacy, and compliance as applied to data management, namely GDPR;
• Analytical ability, structured thinking, and complex problem-solving skills, with a focus on quality;
• Ability to communicate and collaborate with technical teams and business areas, demonstrating autonomy, initiative, organization, and a focus on innovation and continuous improvement.

• Competitive salary and benefits package;
• Ongoing training and specific certifications;
• Opportunity for professional growth and development;
• Dynamic and collaborative work environment;
• A growing company with a promising future.