Data Engineer

Há 1 hora
São Paulo, State of São Paulo, Brasil Pixie Services Tempo integral
As part of a data engineering project, our client is looking for a hands‑on Databricks Engineer to build and support data pipelines on top of the raw layer owned by the Platform team. Missions Build and optimize Databricks pipelines using PySpark , SQL and Delta Lake Transform Raw data into curated and business-ready layers Own production deployments through Azure DevOps (ADO) , including code reviews, testing and releases Monitor, troubleshoot and tune jobs for performance, reliability and cost Implement data quality checks and governance using Unity Catalog Partner with business users and the Platform team to turn requirements into technical solutions Maintain clear documentation and support runbooks Required Profile 8+ years of experience in data engineering 5+ years of hands‑on Databricks experience in production Strong hands‑on experience with Databricks , including notebooks, jobs, workflows and clusters Proficiency in PySpark , Python and advanced SQL Solid understanding of Delta Lake , data modeling and ETL/ELT patterns Experience supporting production workloads, with strong debugging and data validation skills Working knowledge of Git and CI/CD , ideally Azure DevOps (Repos, Pipelines, Boards) Bachelor's degree in Computer Science, Engineering or related field, or equivalent experience Self‑starter who takes initiative, works independently and proactively solves problems Ability to own work end to end, from requirements to production support, and meet commitments Comfortable working with business users and explaining technical topics simply Collaborative communicator who shares proactive updates, raises risks early and works well across time zones Additional Information

Location:
Brazil (Hybrid 2x days in office per week)

Working Hours
Must be willing to work US CST hours

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