Engenheiro de Dados Sênior

New

Fully remote work model within Brazil.Full-TimeSenior

Salary not disclosed

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Job Details

Strong experience as a Data Engineer, with senior-level expertise in data architecture and pipeline development.
Advanced knowledge of SQL, including query optimization, performance tuning, and data modeling (relational and dimensional).
Experience with cloud platforms such as Azure (Microsoft Fabric) and AWS (Glue, Lambda, S3).
Proficiency in Python for data processing and pipeline development, including handling JSON and semi-structured data.
Experience designing and maintaining Data Lake architectures, including layered structures (Landing, Raw, Trusted).
Familiarity with infrastructure as code tools such as Terraform.
Knowledge of BI tools such as Power BI, including semantic modeling and performance optimization.
Strong analytical mindset, autonomy, ownership, and ability to work in complex, data-intensive environments.

Analyze business requirements and data flows to understand end-to-end processes and translate them into scalable data solutions.
Design, develop, and maintain data pipelines across cloud and hybrid environments, ensuring reliability and performance.
Define and evolve data models (dimensional and relational), supporting analytics and BI consumption needs.
Implement and optimize data ingestion and transformation processes using tools such as AWS, Azure, and Microsoft Fabric.
Ensure data quality, governance, lineage, and integrity across all stages of the data lifecycle.
Collaborate with BI and analytics teams to enable efficient data consumption through Power BI and semantic models.
Support integration between on-premise systems (e.g., Teradata) and cloud-based architectures.
Contribute to best practices, standards, and continuous improvement of the data platform ecosystem.

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