Transforming businesses through technology and innovation
CI&T is a global digital transformation company headquartered in New York, specializing in software engineering and IT services. With over 5,000 employees, CI&T partners with major brands like Coca-Cola, Johnson & Johnson, and Nestlé to deliver tailored solutions in areas such as AI/ML, cloud comput...
CI&T offers competitive salaries, equity options, a generous PTO policy, and flexible remote work arrangements. Employees also benefit from a learning...
CI&T fosters a culture of innovation and collaboration, emphasizing agile methodologies and a customer-centric approach. The company values diversity ...
CI&T • Brazil
CI&T is seeking a Senior Data Engineer to develop and maintain data pipelines in Azure using Databricks. You'll work with Python and SQL to ensure data quality and support AI model deployment. This role requires solid experience in data services and CI/CD practices.
You have solid experience in Azure Data Services and Databricks, with a strong command of Python and SQL for data manipulation and transformation. Your expertise in CI/CD practices and version control with GitHub enables you to automate deployments effectively. You understand the importance of data governance and have experience in designing scalable data models that ensure performance and integrity.
You are familiar with data profiling techniques and monitoring to guarantee data quality and consistency. Your collaborative spirit allows you to work closely with business teams and data scientists to deploy AI models in a cloud environment. You are committed to documenting processes and best practices in data engineering, ensuring that knowledge is shared across the team.
Experience with AI projects and automation of data pipelines is a plus. You have knowledge of data-oriented architectures and best governance practices, and you may have participated in Master Data Management (MDM) initiatives. Familiarity with Databricks MLflow for model management and experience in Data Lake and Data Warehouse environments will set you apart.
In this role, you will develop and maintain data pipelines (ETL/ELT) in an Azure environment, utilizing Databricks for processing and integration. You will implement CI/CD practices to automate deployments and manage code versioning in GitHub. Your responsibilities will include designing and optimizing data models to ensure scalability, performance, and governance.
You will support cloud migration projects, ensuring data security, quality, and integrity throughout the process. Collaborating with business teams and data science teams, you will help deploy AI models in the cloud environment, ensuring they meet the necessary standards for quality and performance. You will also be responsible for documenting processes, architectures, and best practices in data engineering, contributing to a culture of knowledge sharing and continuous improvement.
CI&T offers a dynamic work environment where you can grow your skills and contribute to innovative projects. You will be part of a team that values collaboration and continuous learning, with opportunities to work on cutting-edge technologies in the field of data engineering and AI. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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