Databricks Solutions Architect

2 semanas atrás


Porto Alegre, Brasil beBeeDataEngineer Tempo inteiro

Job Overview We're looking for a Data Engineer to build scalable data pipelines using Spark, PySpark, SQL, and Delta Lake. Key Responsibilities: Build and optimize ETL/ELT pipelines in Databricks using PySpark, Spark SQL, and Delta Lake. Ingest, clean, and transform data from diverse sources (APIs, SQL databases, cloud storage, SAP/legacy systems, streaming). Develop reusable pipeline frameworks, data validation logic, and performance-tuned transformations. Design curated datasets and deliver insights through Power BI dashboards. Implement best practices for lakehouse development, orchestration, and version control. Troubleshoot pipeline performance issues and ensure data accuracy, reliability, and quality. Required Skills: Strong hands-on Databricks experience (Spark, PySpark, Delta Lake), advanced SQL for large-scale data processing, experience integrating data from multiple structured and unstructured sources, solid understanding of distributed computing, performance tuning, and debugging Spark jobs, Power BI (reports, models, DAX preferred), and experience with CI/CD pipelines in an Azure environment. Nice-to-Have Skills: Experience with data quality frameworks, Lakehouse monitoring, or DQX, knowledge of Airflow, ADF, IoT, Kafka, or other tools, and experience with SAP data.



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