Data Engineer, Data Platform

New

BrazilFull-Time

Salary not disclosed

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Job Details

Strong experience as a Data Engineer, Analytics Engineer, Data Platform Engineer, or similar role.
Proficiency in Python and SQL, with experience in building production-grade data pipelines.
Experience working with modern cloud data platforms (AWS preferred; GCP or Azure also valued).
Solid understanding of data architectures such as data warehouses, data lakes, and lakehouse models.
Experience with distributed data processing and large-scale data systems.
Ability to design and build reliable, idempotent, and well-documented data workflows.
Strong problem-solving skills with the ability to handle ambiguous technical challenges independently.
Experience working in cross-functional engineering environments with strong communication skills.
Experience with Kafka, Kinesis, Flink, Spark, Kubernetes/EKS, Terraform, and open table formats like Apache Iceberg, Delta Lake, or Hudi.
Familiarity with data governance, observability, and building data APIs.

Design, build, and evolve scalable data pipelines supporting ingestion, transformation, and consumption across the platform.
Own end-to-end data engineering initiatives, from architecture design to production deployment and monitoring.
Support the migration and evolution toward a modern data lakehouse architecture using open table formats.
Develop and optimize batch and streaming data processing systems for large-scale event ingestion.
Contribute to the design and improvement of data modeling, storage strategies, and consumption layers.
Work with cloud-based infrastructure to ensure performance, reliability, and scalability of data systems.
Collaborate with cross-functional teams to define data needs, standards, and best practices.
Participate in on-call rotation and support operational stability of critical data platform components.

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