About
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.
Responsibilities
•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
Requirements
•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
Conditions
•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
