Join a highly skilled data team focused on building scalable and modern data platforms
Develop and optimize cloud-native data solutions
Design, develop, and maintain scalable ETL/ELT pipelines
Ensure data quality, governance, security, and performance optimization
Collaborate closely with Data Scientists, Analysts, Product teams, and Engineering stakeholders

Minimum 7 years of experience in Data Engineering, Data Architecture, or related areas
At least 3 years of experience in a Senior role
Strong experience with Python for data processing and automation
Hands-on experience with Apache Spark, Hadoop ecosystem, and Apache Kafka
Solid experience designing and maintaining ETL/ELT pipelines and distributed data processing architectures
Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform (GCP)
Strong knowledge of SQL, NoSQL, and columnar database technologies
Experience with data warehousing, data lakes, and scalable cloud-native architectures
Knowledge of data governance, data quality standards, and data security best practices
Experience implementing CI/CD pipelines within Agile and DevOps environments
Familiarity with data visualization tools such as Tableau and Power BI
Strong communication and stakeholder management skills
Ability to mentor junior engineers and contribute to technical leadership initiatives
Bachelor's degree in Computer Science, Information Technology, Data Science, or related field
Portuguese and English language skills required
English level: minimum B2 (Upper-Intermediate)

Senior Data Engineer – Hybrid

Key skills