Join CI&T as a Senior Data Developer and help turn data into impactful analytics and machine learning solutions for global clients. You’ll design and maintain scalable data pipelines and infrastructure, working with cross-functional teams to support reliable, usable data and modern data platforms.
Responsibilities
- Design, develop, and maintain scalable data pipelines and infrastructure
- Collaborate with cross-functional teams to ensure data integrity and usability
- Document data workflows, processes, and architectures
- Incorporate data quality into pipelines and develop CI/CD pipelines for ETL processes
- Implement dimensional data models and Data Lake and Data Warehouse solutions
- Apply data governance practices, including cataloging and lineage
- Provide technical support and troubleshoot data-related issues
Required Qualifications
- Solid experience in data engineering or a related role
- Advanced English proficiency in reading, writing, and speaking
- Experience with the Databricks platform
- Strong knowledge of Spark, Python, and SQL
- Knowledge of CI/CD pipelines for ETL processes
- Expertise in dimensional data modeling
- Experience implementing Data Lake or Data Warehouse solutions
- Experience with Azure DevOps and Azure Data Factory
Preferred Qualifications
- Databricks certification
- Experience working with international clients
- Experience with Power BI
- Familiarity with data quality practices and data governance using Unity Catalog
- Knowledge of FinOps in the data domain
- Experience with SAP
What We’re Looking For
You bring a practical, collaborative approach to data engineering and can contribute to solutions that support analytics and machine learning. You’re comfortable documenting your work, addressing technical challenges, and working with teams to deliver reliable data platforms.
