
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 using Azure and Databricks. You'll work with Python and SQL Server to implement advanced data engineering solutions. This role requires solid technical skills and a focus on data quality and performance.
You have a solid background in data engineering with experience in designing and managing data pipelines using Azure Data Factory. Your expertise includes developing and maintaining notebooks, workflows, and Delta Tables in Databricks, ensuring high performance and scalability in data solutions. You are proficient in implementing data processing solutions with Python and PySpark, and you have a strong understanding of SQL Server, both on-premises and in the cloud with Azure SQL. You are familiar with relational and non-relational databases, ensuring efficiency and integrity in data storage and retrieval. You have experience in data modeling using recognized tools, focusing on transactional structures as well as dimensional, star, and snowflake schemas. You understand the importance of data quality, scalability, and security in your solutions, and you are eager to work in a collaborative and innovative environment.
Experience with AI projects and automation of pipelines is a plus. You have knowledge of data-oriented architectures and best practices in governance. 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 be responsible for designing and managing data pipelines that leverage Azure Data Factory. You will develop and maintain notebooks and workflows in Databricks, ensuring that data processing solutions are efficient and scalable. You will implement data processing solutions using Python and PySpark, and you will build procedures, views, and functions in SQL Server. Your work will involve collaborating with cross-functional teams to ensure that data solutions meet business needs and adhere to best practices in data governance. You will also be tasked with ensuring the quality and security of data solutions, contributing to the overall success of data initiatives within the organization.
CI&T offers a dynamic work environment where you can grow your skills and contribute to innovative projects. You will have the opportunity to work with cutting-edge technologies and collaborate with a team of experts in the field. We value diversity and encourage you to apply even if your experience doesn't match every requirement. Join us in transforming technology and making a real impact with data solutions.
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