[Job-31906] Senior Data Developer

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.

We are looking for aData Engineer to join our team and help design, build, and optimize scalable data solutions.

In this role, you will work with modern data technologies such asDatabricks, Apache Spark, SQL, Python, and Azure, collaborating with technical teams and business stakeholders to transform large volumes of data into reliable and efficient solutions.

Your responsibilities

• Design, develop, and maintainrobust and scalable data pipelines using Databricks, Apache Spark, SQL, and Python or Scala.
• Build solutions to process and transform large datasets efficiently.
• Monitor and optimize existing data pipelines and workflows, improvingperformance, scalability, throughput, and reliability.
• Collaborate with data scientists, analysts, engineers, and business stakeholders to understand data needs and translate them into effective technical solutions.
• Implementdata quality checks and governance practices to ensure data accuracy, consistency, and compliance.
• Troubleshoot complex data and pipeline issues, identifying root causes and proposing sustainable solutions.
• Maintain clear technical documentation and contribute to engineering standards and best practices across the team.

What we are looking for

• Solid professional experience inData Engineering, particularly designing and developing data pipelines.
• Hands-on experience withDatabricks and Apache Spark.
• Strong knowledge ofSQL and experience working with large datasets.
• Proficiency inPython or Scala for data engineering.
• Experience working withMicrosoft Azure and cloud-based data solutions.
• Strong analytical and problem-solving skills, including the ability to troubleshoot complex data issues.
• Excellent communication skills inEnglish and Portuguese, with confidence working in collaborative environments and interacting with clients and stakeholders.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.