Data Engineer Sênior (Azure & Snowflake) in Brazil, Indiana at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer Sênior (Azure & Snowflake) in Brazil.

This role is focused on building, maintaining, and optimizing large-scale data pipelines in a complex, international environment. You will work with modern cloud data platforms to ensure reliable ingestion, transformation, and delivery of data across business-critical systems. The position requires strong technical depth in Azure and Snowflake ecosystems, as well as hands-on experience with distributed data processing frameworks. You will play a key role in monitoring data workflows, proactively identifying issues, and ensuring the stability and performance of production pipelines. The environment is highly technical, collaborative, and fast-paced, with strong exposure to global stakeholders. This is an excellent opportunity for a senior data professional who enjoys working on scalable data architecture and operational excellence.

• 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

Requirements:

• 7+ years of experience as a Data Engineer or Software/Data Engineer
• Strong hands-on experience with Azure Cloud Services and Snowflake
• Solid experience in building and maintaining batch and streaming data pipelines
• Advanced proficiency in Python and Spark for data processing and engineering tasks
• Deep knowledge of ETL/ELT processes, including data parsing, event-driven architectures, and distributed systems
• Experience with Azure Databricks and 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 required

Benefits:

• Fully remote work model
• Opportunity to work on international, high-complexity data engineering projects
• Exposure to modern cloud data ecosystems (Azure, Snowflake, Databricks)
• Professional growth in a senior-level technical environment
• Collaborative and global team interaction
• Hands-on experience with large-scale, production-grade data systems
• Long-term project stability with potential for extension