Data Engineer Sênior (Azure & Snowflake)

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.

Accountabilities:

• 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

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1