Senior Data Engineer - Azure & Snowflake

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BrazilFull-TimeSenior

Salary not disclosed

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Job Details

7+ years of experience as a Data Engineer or Software/Data Engineer
Strong hands-on experience with Azure Cloud Services
Strong hands-on experience with Snowflake
Solid experience in building and maintaining batch and streaming data pipelines
Advanced proficiency in Python
Advanced proficiency in Spark for data processing and engineering tasks
Deep knowledge of ETL/ELT processes
Experience with Azure Databricks
Experience with Azure Data Factory
Strong skills in pipeline monitoring, troubleshooting, and production support
Experience with Git/GitHub workflows (branching, pull requests, code reviews)
Strong communication skills with ability to interact with global stakeholders and users
Advanced English proficiency

Design, develop, and maintain scalable data pipelines across Azure and Snowflake environments
Monitor data workflows and respond to alerts, failures, and performance issues in tools such as Azure Data Factory and Databricks
Analyze pipeline failures, identify root causes, and document bugs or technical user stories for resolution
Work with ETL/ELT processes, including batch and streaming data ingestion and transformation
Support and optimize data processing using Python, Spark, and distributed computing frameworks
Manage and improve data orchestration and integration using Azure Data Factory and Event Hubs
Collaborate with users and stakeholders to resolve data issues, provide support, and implement corrective solutions
Ensure version control best practices using Git/GitHub, including code reviews and branch management
Maintain high availability and reliability of data pipelines through proactive monitoring and remediation

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