Senior Data Engineer (Azure)

TL;DR

Senior Data Engineer (Azure): Developing and optimizing data systems on Azure with an accent on Python, PySpark, and SQL. Focus on resolving complex L3 incidents, enhancing system observability, and establishing robust operational standards for data pipelines.

Location: Remote (Must be based in Brazil)

Company

hirify.global is a global technology company with 30 years of experience helping large enterprises transform business impact through AI Deployment, Data, and Application modernization.

What you will do

• Lead the development and optimization of robust and efficient data systems on Azure.
• Diagnose and resolve Level 3 incidents, implementing solutions to minimize system downtime.
• Establish and maintain Standard Operating Procedures (SOPs) and runbooks to improve workflow efficiency.
• Perform corrective maintenance and enhance monitoring and observability practices for the data ecosystem.
• Lead post-mortem analyses to identify root causes of incidents and collaborate on preventative action plans.

Requirements

• Proficiency in Python, PySpark, and SQL.
• Hands-on experience with Databricks and Azure.
• Familiarity with unit testing, Git, and Software Configuration Management/Continuous Integration (SCM/CI).
• Experience in creating SOPs and runbooks for complex systems.
• Advanced English proficiency.
• Must be based in Brazil.

Nice to have

• Deep understanding of data architecture and best practices for data pipelines.

Culture & Benefits

• Collaborative, transformative, and multicultural work environment.
• Commitment to diversity, equity, and inclusion.
• Opportunity to work in a global company spanning more than 25 countries.
• Focus on innovation with AI integrated into daily work processes.