Data Platform Engineer
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Job Description
Data Platform Engineer building scalable cloud data platforms for Expleo, a global engineering, technology, and consulting provider. Designing production data pipelines and supporting reliable, compliant data solutions with AWS and distributed processing.
Responsibilities:
- Design, develop, and maintain data pipelines and platforms in a cloud environment
- Ensure scalability, reliability, and compliance of data platforms
- Contribute to impactful data solutions using cutting-edge technologies
- Collaborate with a talented, multicultural team
Requirements:
- 3–5 years of experience
- Proven experience working with data pipelines in production environments
- Strong hands-on knowledge of SQL and distributed data processing with Apache Spark
- Proficiency in troubleshooting dbt, Apache Kafka, Apache Ignite, Apache NiFi, and Apache AirFlow
- Strong programming skills in Python or Scala for data engineering tasks
- Experience with AWS cloud data services
- Familiarity with Grafana
- Understanding of data governance, security, and compliance in the cloud
- Experience with CI/CD pipelines and testing frameworks for data workflows
- Strong problem-solving, communication, and collaboration skills
- Fluency in Portuguese and English, written and spoken
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