Data Engineer Senior, Brazil

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 7.400 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
We are looking for a Senior Data Developer with strong knowledge in developing and maintaining data pipelines in Databricks, integrating and transforming data from various sources, such as APIs, relational databases, files, and many others As a senior member of the team, you will also provide technical guidance, mentor peers, and collaborate with cross-functional teams including data scientists, analysts, and platform engineers.
Position Overview:
As a Senior Data Engineer, you will lead the design and development of robust data pipelines, integrating and transforming data from diverse data sources such as APIs, relational databases, and files. Collaborating closely with business and analytics teams, you will ensure high-quality deliverables that meet the strategic needs of our organization. Your expertise will be pivotal in maintaining the quality, reliability, security and governance of the ingested data, therefore driving our mission of Collaboration, Innovation, & Transformation.
Key Responsibilities:
Develop and maintain data pipelines. Integrate data from various sources (APIs, relational databases, files, etc.). Collaborate with business and analytics teams to understand data requirements. Ensure quality, reliability, security and governance of the ingested data. Follow modern DataOps practices such as Code Versioning, Data Tests and CI/CD Document processes and best practices in data engineering.
Required Skills and Qualifications:
Must-have Skills: Proven experience in building and managing large-scale data pipelines in Databricks (PySpark, Delta Lake, SQL). Strong programming skills in Python and SQL for data processing and transformation. Deep understanding of ETL/ELT frameworks, data warehousing, and distributed data processing. Hands-on experience with modern DataOps practices: version control (Git), CI/CD pipelines, automated testing, infrastructure-as-code. Familiarity with cloud platforms (AWS, Azure, or GCP) and related data services. Strong problem-solving skills with the ability to troubleshoot performance, scalability, and reliability issues. Proficiency in Git. Advanced English is essential.
Nice-to-have Skills: Experience with data contracts, schema evolution, and ensuring compatibility across services. Expertise in data quality frameworks (e.g., Great Expectations, Soda, dbt tests, or custom-built solutions). Familiarity with DBT, Atlan and Soda. Integration with Power BI Experience with Data Streaming.

#LI-GV1 #Senior Our benefits:
-Health and dental insurance -Meal and food allowance -Childcare assistance -Extended paternity leave -Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; -Profit Sharing and Results Participation (PLR); -Life insurance -Continuous learning platform (CI&T University); -Discount club -Free online platform dedicated to physical, mental, and overall well-being -Pregnancy and responsible parenting course -Partnerships with online learning platforms -Language learning platform And many more
More details about our benefits here:
At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.
We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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