Middle Data Engineer (Azure Databricks)

Experteer Overview Habilidades, experiencia, cualificaciones…Si tiene el perfil adecuado para esta oportunidad, asegúrese de inscribirse hoy mismo.In this role you design and build modern data pipelines and Lakehouse architectures to enable advanced analytics and BI.You will work within the data platform team to scale cloud-based data solutions and integrate diverse data sources.You’ll optimize data transformations and ensure quality and performance for large datasets, collaborating with BI teams and evolving SQL Server-based environments.This is a hands-on opportunity to shape Miratech’s data platform while contributing to cloud modernization and enterprise-scale analytics.Compensaciones / Beneficios* Design, develop, and maintain data pipelines using Azure Databricks* Build and optimize data transformations using PySpark and SQL in Databricks* Implement and maintain Lakehouse architectures using Delta Lake* Develop ETL/ELT pipelines orchestrated through Azure Data Factory* Integrate data from multiple sources into the data platform and analytical layers* Design and maintain data models and data warehouse structures for analytics* Ensure data quality, scalability, and performance of large-scale data processing pipelines* Collaborate with BI teams to support Power BI and reporting platforms* Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required* Contribute to the design of modern cloud-based data architecturesResponsabilidades* 3+ years of experience in Data Engineering or Data Warehouse development* Experience with Azure Databricks* Experience developing data pipelines using PySpark and xqbhyrx Spark SQL* Solid understanding of distributed data processing and big data concepts* Experience working with Delta Lake and Lakehouse architectures* Strong SQL skills and experience with SQL Server relational databases* Experience building data pipelines using Azure Data Factory* Experience handling large datasets and performance optimizationRequisitos principales* health insurance* relocation program* work from anywhere* certification programs* mentorship* internal mobility

You’ll optimize data transformations and ensure quality and performance for large datasets, collaborating with BI teams and evolving SQL Server-based environments. This is a hands-on opportunity to shape Miratech’s data platform while contributing to cloud modernization and enterprise-scale analytics.Compensaciones / Beneficios* Design, develop, and maintain data pipelines using Azure Databricks* Build and optimize data transformations using PySpark and SQL in Databricks* Implement and maintain Lakehouse architectures using Delta Lake* Develop ETL/ELT pipelines orchestrated through Azure Data Factory* Integrate data from multiple sources into the data platform and analytical layers* Design and maintain data models and data warehouse structures for analytics* Ensure data quality, scalability, and performance of large-scale data processing pipelines* Collaborate with BI teams to support Power BI and reporting platforms* Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required* Contribute to the design of modern cloud-based data architecturesResponsabilidades* 3+ years of experience in Data Engineering or Data Warehouse development* Experience with Azure Databricks* Experience developing data pipelines using PySpark and xqbhyrx Spark SQL* Solid understanding of distributed data processing and big data concepts* Experience working with Delta Lake and Lakehouse architectures* Strong SQL skills and experience with SQL Server relational databases* Experience building data pipelines using Azure Data Factory* Experience handling large datasets and performance optimizationRequisitos principales* health insurance* relocation program* work from anywhere* certification programs* mentorship* internal mobility