Engenheiro de Dados - Analytics
New
BrazilFull-Time
Salary not disclosed
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Job Details
- Required Skills
- ETLGitKafkaRabbitmqData modelingDatabricks
Requirements
- Solid experience with Git for version control.
- Hands-on experience with ETL tools and data pipeline frameworks (e.g., Databricks, Airbyte, or similar).
- Experience working in data engineering or data-intensive projects.
- Ability to troubleshoot issues by understanding functional/non-functional requirements and business rules.
- Experience handling multiple data formats (Parquet, JSON, CSV, TXT, relational databases, Delta tables).
- Basic knowledge of data modeling and multi-database management.
- Understanding of BI, Big Data, and analytics ecosystems.
- Familiarity with data integration, processing, and large-scale data storage concepts.
- Knowledge of relational and dimensional data modeling (Data Warehouse concepts).
- Exposure to messaging systems (e.g., RabbitMQ, Kafka).
- Adaptability to changing environments and requirements.
- Strong analytical thinking and problem-solving skills.
Responsibilities
- Participate in the definition, design, and implementation of data platform architecture and solutions.
- Maintain and evolve existing data infrastructure, ensuring stability and scalability.
- Build and improve data ingestion, transformation, integration, and delivery pipelines.
- Troubleshoot and resolve production issues related to data pipelines, databases, and workflows.
- Optimize existing processes to improve performance, reliability, and data accuracy.
- Collaborate with stakeholders to translate business requirements into technical data solutions.
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