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.
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.
- 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.
- 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.