Data Engineer

Pracyva; Lisboa; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

Pracyva seeks a data engineer with Spark, Kafka and Hadoop expertise to design and scale cloud-native data platforms that power analytics and ML. You will implement robust data pipelines, optimize performance, and contribute to architectures supporting real-time and batch processing.

The role requires proficiency in Python, Java, Scala or SQL, deep knowledge of data modeling and ETL/ELT design patterns, and data lifecycle management.

Qualifications

• Experience developing data pipelines for analytics, reporting, ML, and operational data products.
• Deep understanding of data modeling, ETL/ELT design patterns, data architecture, and data lifecycle management.

Responsabilités

Connaissances

Python

Java

Scala

SQL

Data pipelines

Cloud data architectures

Real-time processing

Outils

Spark

Kafka

Hadoop ecosystem

Description du poste

Strong expertise in modern data engineering technologies including Spark, Kafka, Hadoop ecosystem technologies, cloud-native data services, and large-scale data processing frameworks.

Proficiency in one or more programming languages such as Python, Java, Scala, or SQL.

Experience developing data pipelines supporting analytics, reporting, machine learning, and operational data products.

Deep understanding of data modeling, ETL/ELT design patterns, data architecture, and data lifecycle management.