Senior Data Engineer

New
Based in BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
SQLETLMicrosoft Power BIAzure

Requirements

  • Strong hands-on experience with Databricks SQL Warehouse in production environments.
  • Solid knowledge of Lakehouse architecture and modern data platform design.
  • Experience with Azure Data Lake Storage (ADLS).
  • Proficiency in Delta Lake and Delta table management.
  • Strong expertise in Power BI and analytical data modeling.
  • Advanced SQL skills with experience in complex queries and optimization.
  • Experience designing and maintaining ETL/ELT data pipelines.
  • Knowledge of data governance, quality, lineage, and monitoring practices.
  • Experience working in Azure cloud environments.

Responsibilities

  • Design, structure, and maintain the analytical consumption and monitoring layer of the data platform.
  • Build and manage Databricks SQL Warehouse environments for scalable and efficient data querying.
  • Ensure proper separation between processing, storage, and analytical consumption layers in a Lakehouse architecture.
  • Deliver governed datasets for Power BI and other enterprise analytics tools.
  • Integrate Databricks with Azure Data Lake Storage (ADLS) and Power BI to enable end-to-end data flows.
  • Manage historical storage and data persistence using Delta Lake, ensuring reliability and scalability.
  • Implement data traceability, auditability, and reprocessing capabilities across pipelines.
  • Define and maintain RAW, curated, and historical data strategies within the Lakehouse model.
  • Establish and improve monitoring, governance, and data observability practices.
  • Support business and analytics teams in building dashboards, KPIs, and strategic reporting solutions.
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