Senior Data Engineer

ExperianSão Paulo

On-site Full-time

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Experience Level

Senior

Qualifications

To succeed in this position, you should have a strong background in data engineering, including proficiency in SQL, Python, and cloud platforms such as AWS or Azure. Experience with big data technologies like Hadoop and Spark is highly desirable. You should also possess excellent problem-solving skills and the ability to work in a fast-paced environment.

About the job

Join Experian as a Senior Data Engineer and leverage your expertise in data architecture and analytics to drive impactful business decisions. In this role, you will collaborate with cross-functional teams to design, develop, and maintain robust data solutions that enhance data accessibility and usability across the organization.

About Experian

Experian is a leading global information services company, providing data and analytical tools to clients around the world. With a commitment to innovation and customer-centric solutions, Experian empowers businesses to manage and interpret data effectively, driving their success in the digital economy.

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Role overview Experian is looking for a Senior Data Engineer in São Carlos. This role focuses on building and maintaining data pipelines that connect multiple sources to analytics platforms. The work supports teams who rely on accurate, timely data to guide decisions. What you will do Design and implement data pipelines for reliable data movement Integrate data from diverse sources into analytics systems Work closely with other data professionals to support analytics and reporting Who you’ll work with Collaborate with a group of experienced engineers and analysts who value data quality and practical solutions.

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CI&T brings together human expertise and artificial intelligence to deliver scalable technology solutions. With a team of over 8,000 people and a history spanning three decades, CI&T has worked with more than 1,000 clients worldwide. Artificial Intelligence is a core part of the company’s approach to digital transformation. Location requirement: Candidates living in the Metropolitan Region of Campinas must work onsite at the Campinas office, following the company’s current attendance policy. Role overview The Senior Data Engineer will safeguard the integrity, consistency, and efficiency of data models throughout CI&T’s systems. This position involves reviewing data structures, setting standards, and supporting data governance efforts. What you will do Develop and maintain ETL and ELT data pipelines in Azure, using Databricks for processing and integration. Keep a broad perspective on projects, understanding how specific solutions impact the overall system. Implement CI/CD automation and version control with GitHub. Design and optimize data models for scalability, performance, and governance. Assist with cloud migration initiatives, focusing on data security, quality, and integrity. Collaborate with business and data science teams to deploy AI models in cloud environments. Monitor and profile data to maintain quality and consistency. Document data engineering workflows, architectures, and best practices. Technical requirements Extensive experience with Azure Data Services and Databricks. Proficiency in Databricks using PySpark. Direct experience productizing machine learning models in Databricks (MlOps). Background in near real-time data processing with Kafka. Advanced Python and SQL skills for data transformation and manipulation. Familiarity with CI/CD processes and version control using GitHub. Experience in data modeling at conceptual, logical, and physical levels.

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