Engenheiro de Dados Sênior

New

Brazil, Standard business hoursContractSenior

Salary not disclosed

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Job Details

Strong experience as a Data Engineer building scalable data pipelines in cloud environments.
Advanced knowledge of Azure Data Services including Data Factory, Databricks, Synapse, Azure SQL, Blob Storage, and monitoring tools.
Experience integrating data through REST/SOAP APIs and working with real-time data ingestion.
Solid knowledge of relational and non-relational databases such as SQL Server, PostgreSQL, CosmosDB, and MongoDB.
Proficiency in Python, Spark, SQL, and PowerShell for data processing and automation.
Experience with DataOps practices, CI/CD pipelines, and Git-based version control.
Strong understanding of data modeling, query optimization, and database performance tuning.
Knowledge of data security, governance, and compliance frameworks such as LGPD.
Ability to communicate clearly and document technical solutions effectively.

Design and implement scalable data ingestion pipelines from diverse sources including APIs, relational and non-relational databases, files, and real-time systems.
Develop and maintain end-to-end data architectures using Azure services such as Data Factory, Databricks, Synapse Analytics, Azure Functions, and related tools.
Build and manage data lakes, data warehouses, and data marts ensuring reliability, performance, and accessibility of data assets.
Integrate and consolidate complex datasets across multiple platforms, ensuring consistency, quality, and governance standards.
Optimize ETL/ELT workflows, monitor performance, and resolve bottlenecks to ensure efficient data processing at scale.
Collaborate with cross-functional teams including data scientists and business stakeholders to support analytics and AI initiatives.
Ensure compliance with data security, governance, and regulatory standards such as LGPD.

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