Azure Databricks Data Engineer & Architect Lead

Miratech; Valencia; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A global IT services company in Valencia is seeking an experienced Azure Databricks Data Engineer / Data Architect to design, build, and optimize scalable data platforms in a cloud environment. The role demands proficiency in Python and Apache Spark, along with experience in implementing ETL/ELT pipelines and establishing data governance. The ideal candidate will work closely with BI and ML teams to ensure high data quality and availability, contributing to impactful projects for various clients.

Servicios

Competitive Pay and Benefits

Work From Anywhere Culture

Professional development opportunities

Welcoming Multicultural Environment

Formación

• Strong proficiency in Python and Apache Spark for large-scale distributed data processing.
• Solid experience with SQL and NoSQL databases, including data modeling and query optimization.
• Hands-on experience designing workflows using data pipeline orchestration tools.

Responsabilidades

• Architect, design, and implement scalable data solutions on Azure and Databricks.
• Build, automate, and orchestrate robust ETL/ELT pipelines using CI/CD best practices.
• Ensure data quality through automated unit, integration, and validation testing.
• Manage data ingestion and integration from on-premise systems to cloud environments.

Conocimientos

Python

Apache Spark

SQL

NoSQL databases

Data pipeline orchestration

Azure cloud technologies

Infrastructure as Code

Data quality frameworks

Business Intelligence

Machine Learning

Herramientas

Azure Data Factory

Databricks

Terraform

Descripción del empleo

A global IT services company in Valencia is seeking an experienced Azure Databricks Data Engineer / Data Architect to design, build, and optimize scalable data platforms in a cloud environment. The role demands proficiency in Python and Apache Spark, along with experience in implementing ETL/ELT pipelines and establishing data governance. The ideal candidate will work closely with BI and ML teams to ensure high data quality and availability, contributing to impactful projects for various clients.