Lead development and optimization of Azure-based data systems using Python/PySpark and Databricks. Resolve Level 3 incidents, perform rollbacks, create SOPs/runbooks, improve monitoring and observability, conduct post-mortems, and collaborate with cross-functional teams to ensure reliable, high-performance data pipelines.
Summary Generated by Built In
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
At CI&T, we are seeking a highly skilled and motivated Senior Data Developer (Azure) to join our team in Brazil. You will contribute to an innovative project in a collaborative, transformative, and multicultural environment.
Position Overview:
As a Senior Data Developer, you will lead the development and optimization of data systems on Azure, playing a crucial role in ensuring our data solutions are robust and efficient. Your expertise in Python, PySpark, and SQL will be essential as you work closely with cross-functional teams to tackle complex challenges and deliver high-quality data-driven solutions that meet client needs.
Key Responsibilities:
Resolve Level 3 incidents by proactively diagnosing issues and implementing solutions.
Roll back changes when necessary to restore operations and minimize downtime.
Assist teams in creating and maintaining Standard Operating Procedures (SOPs) and runbooks for efficient workflows.
Drive a “Shift Left” mindset by helping establish standards for effective runbook documentation.
Perform corrective maintenance to ensure optimal performance of data systems.
Enhance monitoring and observability practices to improve the reliability and performance of the data ecosystem.
Participate in and help lead post-mortem analysis to identify root causes of incidents and collaborate on preventative action plans.
Required Skills and Qualifications:
Must-have Skills:
Proficiency in Python / PySpark
Experience with Databricks and Azure
Strong SQL skills
Familiarity with unit testing, Git, and Software Configuration Management / Continuous Integration (SCM/CI)
Strong problem-solving abilities and troubleshooting expertise for complex systems
Knowledge of creating and implementing SOPs and runbooks
Experience with monitoring and observability tools and practices
Understanding of data architecture and best practices for data pipelines is a plus
Advanced English proficiency
Collaboration is our superpower, diversity unites us, and excellence is our standard.
We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
