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Home›Jobs›CI&T›[Job-25818] Senior Data Engineer (Databricks), Brazil
CI&T

About CI&T

Transforming businesses through technology and innovation

🏢 Tech👥 5K-10K📅 Founded 1995📍 New York, New York, United States

Key Highlights

  • Headquartered in New York, NY, with a global presence
  • 5,000+ employees across multiple countries
  • Partners with leading brands like Coca-Cola and Nestlé
  • Focus on AI/ML, cloud computing, and agile development

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...

🎁 Benefits

CI&T offers competitive salaries, equity options, a generous PTO policy, and flexible remote work arrangements. Employees also benefit from a learning...

🌟 Culture

CI&T fosters a culture of innovation and collaboration, emphasizing agile methodologies and a customer-centric approach. The company values diversity ...

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CI&T

[Job-25818] Senior Data Engineer (Databricks), Brazil

CI&T • Brazil

Posted 3d agoSeniorData engineer📍 Brazil
Apply Now →

Skills & Technologies

DatabricksPysparkSQLPythonEtlData warehousingDataops

✨ AI Summary

CI&T is seeking a Senior Data Engineer to develop and maintain data pipelines using Databricks. You'll integrate and transform data from various sources, requiring strong skills in Python, SQL, and ETL frameworks.

Job Description

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 8,000 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.

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.

Requirements
- 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 (speaking)!


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