Engenheiro(a) de Dados Sênior – Azure Databricks

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Description

Accountabilities - Design, develop, maintain, and optimize data pipelines using Azure Databricks, PySpark, Azure Data Factory (ADF), Python, and Azure Data Lake. - Build and support ETL/ELT processes to integrate enterprise data and meet analytical and business requirements. - Perform data ingestion, transformation, validation, and reconciliation across multiple source systems. - Conduct data profiling and quality assessments to identify inconsistencies, resolve issues, and ensure data accuracy and reliability. - Develop, write, and optimize complex SQL queries to improve data processing performance. - Perform performance tuning and troubleshoot large-scale data workloads to ensure efficiency, scalability, and reliability. - Provide Level 2 production support for incidents involving Azure Data Factory pipelines, Databricks jobs, and data processing workflows. - Monitor and maintain production pipelines, ensuring availability, operational stability, and efficient resource utilization. - Support deployment and release processes across development, testing, and production environments. - Manage competing priorities across multiple projects, working independently while meeting deadlines and maintaining high delivery standards. - Requirements More than eight years of professional experience in data engineering, including the development and maintenance of ETL processes. - Strong hands-on experience with Azure Databricks and Azure Data Factory (ADF). - Extensive knowledge of ETL/EL

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