Chief Data Engineering Architect

4 semanas atrás


Manaus AM, Brasil beBeeDataEngineer Tempo inteiro

Databricks Data Engineer Job Summary We are seeking an experienced Databricks Data Engineer to join our team. The ideal candidate will have strong experience building scalable data pipelines using Spark, PySpark, SQL, and Delta Lake. The successful candidate will be responsible for designing and implementing ETL/ELT pipelines in Databricks using PySpark, Spark SQL, and Delta Lake. This includes ingesting, cleaning, and transforming data from diverse sources APIs, SQL databases, cloud storage, SAP/legacy systems, streaming. Design and develop reusable pipeline frameworks, data validation logic, and performance-tuned transformations. Ingest and transform data from multiple structured and unstructured sources. 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 experience with Databricks, including Spark, PySpark, and Delta Lake. Advanced SQL skills for large-scale data processing. Experience integrating data from multiple sources. Solid understanding of distributed computing, performance tuning, and debugging. Power BI reports and models preferred. Experience with CI/CD pipelines in Azure environment. Nice to Have: Experience with data quality frameworks, Lakehouse monitoring, or DQX. Knowledge of Airflow, ADF, IoT, Kafka or other tools is a plus. Experience with SAP data is a plus.


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