Data Engineer jobs in Brazil
Explore 169 matching jobs.
Senior Data Engineer
Zup Innovation
Posted: 10/20/2026Data Engineer – AI
RevStar
Posted: 10/20/2026Data Engineer
Cadmus Soluções em TI
Posted: 10/20/2026Tech Lead, Data Engineering
Cadmus Soluções em TI
Posted: 10/20/2026Senior Platform Engineer – Data & Infrastructure
Assertive Yield B.V.
Posted: 10/19/2026FBS Data Engineer, SQL, Power BI
Capgemini
Posted: 10/18/2026Mid-Level Data Engineer
SysMap Solutions
Posted: 10/17/2026Data Engineering Specialist – AI
Vivara
Posted: 10/17/2026Data Engineer, Mid-Level
Stefanini Brasil
Posted: 10/16/2026Data Engineering Analyst – Azure Data Platform
Avanade
Posted: 10/15/2026Senior Data Engineer, GCP
Leega
Posted: 10/15/2026AI Data Engineer
Gomes de Matos Consultores Associados
Posted: 10/15/2026Senior Data Engineer
Cadastra
Posted: 10/15/2026Senior Data Architect
Kyndryl
Posted: 10/15/2026Master's/Doctoral Research Fellow – Research in Data Architecture and AI
Sistema Fibra
Posted: 10/15/2026Master’s/PhD Research Fellow – Research in Data Architecture and AI
Sistema Fibra
Posted: 10/15/2026Data Infrastructure Engineer
Metal Toad
Posted: 10/15/2026Data Engineer – Mid-Level
Distrito
Posted: 10/15/2026Data Engineer
Sigma Software Group
Posted: 10/14/2026Staff Data Engineer
Moxie
Posted: 10/14/2026
Core Competencies
Role fitUse this summary to align your resume positioning with the role.
Demonstrates advanced proficiency in SQL and solid experience with Python or Scala for data engineering, focusing on building and optimizing data ingestion, transformation, and integration pipelines. Expertise in Data Lake, Data Warehouse, and Lakehouse architecture, along with hands-on experience in ETL/ELT processes and cloud platforms such as Azure, AWS, or Google Cloud.
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build data ingestion, transformation, and integration pipelines in scalable environments.
- Develop and maintain robust architectures for Data Lakes, Data Warehouses, and Lakehouses.
- Ensure data quality, governance, and security throughout all stages of the data lifecycle.
- Implement and optimize ETL/ELT processes with a focus on performance and reliability.
- Define technical standards and best practices for the efficient use of data platforms.
- Integrate multiple data sources and destinations, promoting interoperability.
- Collaborate with cross-functional teams to align data solutions with the organization’s strategy.
Requirements
What you’ll need- Advanced proficiency in SQL for manipulating and analyzing large volumes of data.
- Solid experience with Python or Scala applied to data engineering.
- Proven experience with Spark for distributed processing.
- Deep knowledge of Data Lake, Data Warehouse, and Lakehouse architecture and implementation.
- Hands-on experience with ETL/ELT tools in cloud environments.
- Advanced experience in data modeling and governance at organizational scale.
- Knowledge of and hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud.
Benefits
Comp & perks- Freedom to work from anywhere
- Flexible working hours
- Education assistance
- Proprietary career development platform
- Internal guilds and study and interest groups
- Health insurance
- Dental insurance
- 24/7 telemedicine
- Free online therapy
- Wellhub
- Extended maternity leave
- Extended paternity leave
- CAZ – Zuppers’ Support Center
- Meal and food allowance
- Life insurance
- Transportation allowance
- Home office allowance
- Childcare assistance
- Mobile phone plan allowance
- Profit-sharing and results-based bonus
ATS Keywords
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