Remote Junior Data Engineer - Azure Databricks & PySpark

Miratech; Valencia; Presencial; EUR 32.000 - 48.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Language courses

Relocation program

Remote work

Descripción de la vacante

Miratech is seeking a Junior Data Engineer specialized in Azure Databricks to join our data platform team. You will develop and support modern data pipelines, leveraging Azure Databricks, Spark, and Azure Data Factory, and work with SQL Server-based data warehouses.

You'll implement ETL/ELT pipelines, optimize data transformations with PySpark, and collaborate with BI teams to enable analytics and Power BI reporting under the guidance of senior engineers.

Formación

• 2+ years of experience in Data Engineering, Data Warehouse development, or a related field.
• Experience with Azure Databricks.
• Experience developing data pipelines using PySpark and Spark SQL.
• Understanding of distributed data processing and big data concepts.
• Good SQL skills and experience with SQL Server relational databases.
• Exposure to data processing and performance optimization concepts.

Responsabilidades

• Support and evolve existing SQL Server data platforms and ETL solutions.
• Build and optimize data transformations using PySpark and SQL in Databricks.
• Develop ETL/ELT pipelines orchestrated through Azure Data Factory.
• Integrate data from multiple sources into the data platform and analytical layers.
• 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.
• Participate in the implementation of modern cloud-based data architectures under guidance from senior team members.

Descripción del empleo

Miratech is seeking a Junior Data Engineer specialized in Azure Databricks to join our data platform team. You will develop and support modern data pipelines, leveraging Azure Databricks, Spark, and Azure Data Factory, and work with SQL Server-based data warehouses.

You'll implement ETL/ELT pipelines, optimize data transformations with PySpark, and collaborate with BI teams to enable analytics and Power BI reporting under the guidance of senior engineers.