Senior Data Engineer - Azure & Snowflake
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 7+ years
- Required Skills
- PythonETLGitSnowflakeSparkGitHub
Requirements
- 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
Responsibilities
- 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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