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Location
Remote (Brazil)
Employment
Full-Time
Overview
Company
Impact
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Ciandt is a leading provider of digital transformation services. We help organizations transform their businesses by leveraging the latest technologies. Our solutions provide comprehensive digital strategy, design, development, and implementation capabilities.

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

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