Data Engineer (Snowflake | Python | SQL)

Data Engineer (Snowflake | Python | SQL)

📍 Location: Barueri, SP – Brazil

🏢 Work Model: Hybrid

🌎 English Level: Advanced

📅 Experience Required: 7+ years

About the Role

We are looking for an experienced Data Engineer to join our team and play a key role in designing, optimizing, and maintaining scalable data solutions. The ideal candidate will have strong expertise in SQL, Python, and Snowflake, along with hands-on experience building robust data pipelines and supporting modern cloud-based data architectures.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines and data solutions.
• Build and maintain ELT/ETL processes using modern data engineering tools.
• Optimize Snowflake environments, ensuring performance, scalability, and cost efficiency.
• Refactor and improve existing Snowflake objects and data pipelines in large-scale environments.
• Collaborate with cross-functional teams to support data integration and analytics initiatives.
• Implement best practices for data modeling, version control, and deployment processes.
• Support cloud-based data infrastructure and automation initiatives.

Required Qualifications

• 7+ years of experience in Data Engineering or related roles.
• Strong proficiency in SQL, including:
  • Complex query development
  • Performance tuning
  • Data modeling
• Hands-on experience with Snowflake, including:
  • Schema design
  • Query and warehouse optimization
  • Data warehousing best practices
  • Cost management
• Proven experience refactoring and optimizing Snowflake objects and pipelines in enterprise environments.
• Experience building and maintaining ELT/ETL pipelines using tools such as:
  • dbt
  • Apache Airflow
  • Similar orchestration frameworks
• Strong knowledge of Python for:
  • Data pipeline development
  • Automation
  • Tooling and scripting
• Experience with AWS data services, including:
  • RDS
  • S3
  • Aurora
  • Backup and restore mechanisms
• Proficiency with Git/GitHub:
  • Branching strategies
  • Pull requests
  • Collaborative development workflows
• Experience working in Linux environments:
  • File system navigation
  • Shell scripting
  • Service management
• Familiarity with Docker and containerization technologies.

Nice to Have

• Experience with modern data platform architectures.
• Knowledge of CI/CD practices for data engineering.
• Experience with cloud-native data solutions and infrastructure automation.

Required Skills

✅ SQL

✅ Python

✅ Snowflake

✅ dbt or Airflow

✅ AWS (RDS, S3, Aurora)

✅ Git/GitHub

✅ Linux

✅ Docker

✅ Advanced English