Senior Databricks Data Engineer - Build Scalable Pipelines

EPAM Systems; Portugal; Presencial; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive compensation

Flexible work hours

Career growth opportunities

Internal events

Resumo da oferta

EPAM Systems in Portugal is seeking a Senior Data Software Engineer skilled in Databricks to join our team. You will help design and build scalable data pipelines and architectures, driving innovation in our Data practice.

You'll work with Delta Lake, Spark and cloud-native technologies, participate in code reviews and ensure data quality. The role requires strong English communication and a proactive, collaborative mindset in a fast-moving startup environment.

Qualificações

• Solid Databricks experience with Delta Lake workflows.
• Strong knowledge of data architecture and modeling.
• Expertise in Spark with Scala or PySpark.
• Proficiency in cloud-native tech and engineering best practices.
• Experience with AWS/Azure/GCP.
• Experience with big data and performance optimization.
• Client-facing experience and ability to navigate ambiguity.
• Fluent English (B2+)

Responsabilidades

• Design, develop and maintain scalable data pipelines and architectures.
• Optimize data models and ETL with Databricks.
• Implement data quality checks and monitoring.
• Stay updated on data-engineering trends and tools.
• Troubleshoot data-related issues promptly.
• Participate in code reviews for quality

Conhecimentos

Databricks experience

Data modeling

Spark (PySpark/Scala)

Cloud-native technologies

Communication skills

Independence / initiative

Ferramentas

Databricks

Delta Lake

Delta Live Tables

Spark

PySpark

Scala

AWS

Azure

GCP

Containers

CI/CD

Descrição da oferta de emprego

EPAM Systems in Portugal is seeking a Senior Data Software Engineer skilled in Databricks to join our team. You will help design and build scalable data pipelines and architectures, driving innovation in our Data practice.

You'll work with Delta Lake, Spark and cloud-native technologies, participate in code reviews and ensure data quality. The role requires strong English communication and a proactive, collaborative mindset in a fast-moving startup environment.