Process Engineer responsible for designing and implementing production processes to improve efficiency. Ensuring products meet quality and safety standards while collaborating with departments.
About the role
- Data Engineer responsible for developing ETL processes and managing data integration in cloud environment. Collaborating with cross-functional teams and ensuring data governance standards.
Responsibilities
- Development and maintenance of data pipelines (ETL/ELT);
- Working in a cloud environment, preferably GCP (Google Cloud Platform);
- Data integration with BI tools (e.g., Looker);
- Building solutions following a layered data architecture;
- Implementing best practices for data governance, quality, and security;
- Collaborating with cross-functional teams in an agile model;
- Supporting the evolution of CI/CD processes for data pipelines.
Requirements
- Experience developing data pipelines (ETL/ELT);
- Experience with GCP (strong plus);
- Strong knowledge of SQL, Python, and/or PySpark;
- Experience with source control (Git);
- Familiarity with agile methodologies;
- Basic knowledge of CI/CD applied to data;
- Knowledge of Terraform (plus);
- Experience with best practices for data security, governance, and quality;
- Experience with layered data architecture;
- Experience integrating with BI tools (e.g., Looker).
Benefits
- Development and maintenance of data pipelines (ETL/ELT);
- Working in a cloud environment, preferably GCP (Google Cloud Platform);
- Data integration with BI tools (e.g., Looker);
- Building solutions following a layered data architecture;
- Implementing best practices for data governance, quality, and security;
- Collaborating with cross-functional teams in an agile model;
- Supporting the evolution of CI/CD processes for data pipelines.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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