
Lead Data Engineer
- São Leopoldo - RS
- Permanente
- Período integral
- Lead the design, development, and maintenance of data pipelines, data models, and integration solutions.
- Oversee and optimize Oracle database environments, ensuring high availability, performance, and scalability.
- Design and implement data solutions leveraging AWS services such as S3, Redshift, Glue, Athena, EMR, and Lambda.
- Collaborate with business stakeholders, data scientists, and analysts to understand requirements and deliver robust, business-ready data solutions.
- Define and enforce data engineering best practices, including data governance, security, and quality standards.
- Mentor and guide a team of data engineers, reviewing code and providing technical leadership.
- Stay current on emerging data technologies and recommend improvements to architecture and processes.
- 5–7 years of data engineering experience, with strong hands-on expertise in Oracle databases (design, development, performance tuning).
- Solid experience with AWS data services and cloud-based data architectures.
- Proven experience in data modeling, ETL/ELT development, and SQL optimization.
- Strong understanding of data warehousing, governance, and security best practices.
- Demonstrated leadership experience in managing or mentoring technical teams.
- Excellent communication, collaboration, and problem-solving skills.
- Fluent English
- Experience with big data frameworks (e.g., Spark, Hadoop).
- Familiarity with CI/CD pipelines and DevOps practices for data engineering.
- Knowledge of Python or other programming languages used in data engineering.