Data Engineer: Real-Time Pipelines on Spark & AWS (Remote)

Shopfully; Roma; Ibrido; Riservato; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible work model

Central, modern offices

Learning opportunities

Inclusive work environment

Team events

Descrizione del lavoro

Shopfully is seeking a Data Engineer to join our Engineering team in Europe. This role involves building the next generation of our digital shopping marketplace, working with massive datasets using cutting-edge technologies like Spark and Kafka.

We want someone passionate about data and fostering a data-driven culture, capable of developing data pipelines and maintaining data warehousing solutions to drive impactful business decisions. The position offers a hybrid work model, allowing you to work where you are most effective within Europe.

Competenze

• 2+ years of work experience in building data pipelines and transforming large data sets.
• Work experience in big data technologies such as Spark and Kafka.
• Passionate about data and driving a data-driven culture.

Mansioni

• Join a team of talented data engineers using big data technologies.
• Create real-time streaming and batch data pipelines.
• Improve and maintain data warehousing solutions.

Conoscenze

Building data pipelines

Spark

Kafka

Python

Scala

Formazione

Bachelor’s degree in Computer Science/Engineering or equivalent

Strumenti

AWS

Airflow

Databricks

Descrizione del lavoro

Shopfully is seeking a Data Engineer to join our Engineering team in Europe. This role involves building the next generation of our digital shopping marketplace, working with massive datasets using cutting-edge technologies like Spark and Kafka.

We want someone passionate about data and fostering a data-driven culture, capable of developing data pipelines and maintaining data warehousing solutions to drive impactful business decisions. The position offers a hybrid work model, allowing you to work where you are most effective within Europe.