At Smart Consulting, we're looking for a Data Platform Engineer to join our data organization and ensure the reliability, scalability, and excellence of our cloud-based data platform.We believe data empowers better decisions — and we want you to be part of that journey.
What it takes to be a Data Platform Engineer:Experience working with data pipelines in a production environmentStrong hands-on knowledge of SQL and experience with distributed processing tools (e.g., Apache Spark)Proficiency troubleshooting dbt, Apache Kafka, Apache Ignite, Apache NiFi, and Apache AirflowSolid programming skills in Python or Scala for data engineering tasksExperience with AWS cloud data servicesFamiliarity with Grafana or similar observability toolsUnderstanding of data governance, compliance, and security best practices in cloud environmentsExperience implementing CI/CD and testing frameworks for data pipelines and data productsStrong problem-solving abilities and excellent communication skillsExperience providing platform support or help desk troubleshooting in technical environmentsAvailability to start within 30 daysFluency in Portuguese and English