
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 Mid-Level Data Engineer to design and maintain scalable data pipelines. You'll work with Databricks, Spark, and Azure Data Factory to create intelligent data solutions. This role requires solid experience in data modeling and governance.
You have a solid background in data engineering with experience in designing and maintaining scalable data pipelines. Your expertise includes working with Databricks, Spark, and Azure Data Factory, allowing you to create robust solutions for large volumes of data. You understand the importance of data quality and integrity throughout the data pipeline, ensuring that the solutions you build are reliable and efficient.
You thrive in collaborative environments, working closely with multidisciplinary teams to orchestrate solutions that align with business objectives. Your ability to communicate effectively with both technical and non-technical stakeholders makes you a valuable team member. You are comfortable navigating complex problems and enjoy the challenge of optimizing data processes in cloud environments.
Your experience includes designing and maintaining Data Lake and Data Warehouse solutions, applying best practices in data governance. You are familiar with concepts such as Bronze, Silver, and Gold layers, Star Schema, Delta Tables, and analytical tables, which are essential for effective data management.
You are passionate about data and have a keen interest in leveraging AI technologies to enhance data solutions. Your problem-solving skills enable you to tackle challenges head-on, and you are always looking for ways to improve existing processes and workflows.
Experience with Teradata and SAS is a plus, as it can enhance your ability to work with diverse data environments. You are also familiar with CI/CD practices applied to data environments, which helps streamline development and deployment processes.
In this role, you will be responsible for designing, developing, and maintaining scalable and robust data pipelines. You will create solutions for data ingestion, transformation, and modeling using Databricks, Spark/PySpark, Cloudera, and Azure Data Factory. Your work will ensure the quality, integrity, and usability of data throughout the entire pipeline.
You will collaborate with technical and business teams to align data solutions with the company's objectives. This includes working on Data Lake and Data Warehouse solutions, applying best practices in data governance, and ensuring that data is organized and accessible for analysis.
Your responsibilities will also involve optimizing code in cloud environments and ensuring that data processes are efficient and effective. You will be expected to contribute to the design of data architectures that support the organization's data strategy and goals.
CI&T offers a dynamic work environment where innovation and collaboration are at the forefront. You will have the opportunity to work with cutting-edge technologies and contribute to impactful projects that leverage AI and data solutions. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.
Join us in our mission to transform technology and create scalable tech solutions that drive success for our clients. We provide a supportive culture that fosters growth and development, allowing you to advance your career while making a difference in the world of data.
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