Engenheiro(a) de Dados

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro(a) de Dados based in Brazil.** This is an exciting opportunity for a data engineering professional to play a strategic role in the evolution and reliability of a modern data platform. In this position, you will work across the entire data lifecycle, building scalable pipelines, improving data governance practices, and delivering critical information that supports business decision-making. You will collaborate with multidisciplinary teams in technology, analytics, and business functions, contributing to innovative and high-impact initiatives. The environment values technical excellence, knowledge sharing, continuous improvement, and a strong culture of collaboration, making it an ideal opportunity for professionals who thrive in dynamic and data-driven ecosystems. ### Accountabilities: - Design, build, and maintain scalable and resilient data pipelines for ingestion, transformation, and orchestration of critical business data. - Collaborate with engineering teams, external data providers, and business stakeholders to understand requirements and translate them into efficient data solutions. - Develop and optimize data models to improve storage efficiency, query performance, and data accessibility. - Implement and promote engineering best practices, including code versioning, automated testing, metadata documentation, and data quality validation. - Ensure data consistency, reliability, and governance through robust monitoring, security controls, and lifecycle management processes. - Act as a bridge between engineering, analytics, data science, and business teams, fostering collaboration and enabling data-driven initiatives. - Document processes, workflows, and technical solutions to facilitate transparency and knowledge sharing across teams. - Identify opportunities for continuous improvement in platform architecture, scalability, and operational efficiency. ### Requirements: - Solid experience in Data Engineering, with hands-on expertise in building and maintaining end-to-end data pipelines. - Advanced proficiency in SQL, including the ability to create complex and high-performance queries. - Strong knowledge of data modeling principles and best practices for analytical and operational environments. - Experience with orchestration tools such as Airflow, Prefect, Dagster, or similar technologies. - Familiarity with Delta Lake and data versioning strategies for historical data management. - Practical experience with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure. - Knowledge of data security practices, including governance, anonymization, masking, and compliance requirements. - Experience with Git, CI/CD practices, and agile methodologies. - Strong communication and stakeholder management skills, with the ability to work effectively in cross-functional teams. - Nice to have: experience with NoSQL databases (MongoDB, Cassandra, DynamoDB) and exposure to Generative AI, LLMs, or agent-based platforms applied to data solutions. ### Benefits: - Profit Sharing Program (PLR). - Medical and dental insurance. - Life insurance coverage. - Flexible meal and food allowance package. - Optional transportation voucher. - Childcare assistance. - Extended parental leave policies. - Wellness and quality-of-life partnership programs. - Birthday day off. - Discounts and benefits related to education, food, and lifestyle services. - Opportunity to grow in a dynamic and innovative environment alongside highly skilled professionals. - Inclusive workplace committed to diversity and equal opportunities. **How Jobgether works:** We use an **AI-powered matching process** to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring…