Data Engineer (Azure - Hybrid)

We are seeking a Data Engineer with solid experience in layered data architecture, including models such as Medallion (Delta Lake). It is essential to have hands-on experience in distributed processing and handling large volumes of data using Spark, Python, and Databricks.

We expect expertise in data modeling, transformation, integration, and orchestration of data pipelines, as well as experience with collaborative environments, code versioning, and continuous integration using tools like GitHub and Jenkins.

Experience with containers, workflow automation, and DataOps/DevOps practices applied to data engineering is also desirable. We are looking for professionals with a critical mindset to design scalable, resilient, and secure solutions, balancing performance, reliability, and cost optimization.