Analista de Dados – Sênior
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- PythonSQLGCPData engineeringData modeling
Requirements
- Advanced proficiency in Python for data engineering and analytics tasks.
- Strong experience with SQL and data modeling techniques.
- Hands-on experience with Google Cloud Platform (GCP) and cloud-based data architectures.
- Proven ability to design scalable and efficient data solutions.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related fields.
- Advanced or fluent English proficiency (mandatory).
- Strong analytical thinking and problem-solving skills.
- Experience working in global or enterprise-level environments is a plus.
- Knowledge of data governance, quality, and compliance principles.
- Strong communication skills and ability to collaborate in multidisciplinary teams.
Responsibilities
- Develop, optimize, and maintain scalable data pipelines to support analytics and business intelligence initiatives.
- Design reusable data workflows for ingestion, transformation, and data quality assurance.
- Support migration of legacy data systems to modern cloud-based architectures using Google Cloud Platform (GCP).
- Build and maintain data models and structured datasets to enable efficient reporting and analysis.
- Ensure data governance, compliance, and best practices across all data engineering processes.
- Collaborate with global teams to deliver dashboards, automation solutions, and strategic insights.
- Apply best practices in SQL and Python to develop efficient and scalable data solutions.
- Support continuous improvement of data architecture, performance, and reliability.
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