Data Engineer — Build Scalable Cloud Pipelines

Artefact North America; Riyadh; In loco; SAR 90.000 - 150.000; Tempo pieno

Descrizione del lavoro

Artefact is hiring a Data Engineer to design and maintain robust data pipelines, using Python and SQL, to ensure efficient ETL processes. You will work with data platforms, databases, and cloud environments (Azure, GCP, AWS), integrating ML models where applicable.

The role requires 2–5 years of experience, strong problem-solving, stakeholder communication, and a bachelor’s degree in a computing/engineering field.

Competenze

• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL and Cloud Services (Azure, GCP, AWS).
• Knowledge of ML modeling integration in data pipelines.

Mansioni

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate ML models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

Conoscenze

Python

SQL

Data Pipelines

ETL

Cloud Services

Formazione

Bachelor's degree in Computer Science/Engineering

Strumenti

Spark

Kafka

Azure

GCP

AWS

Descrizione del lavoro

Artefact is hiring a Data Engineer to design and maintain robust data pipelines, using Python and SQL, to ensure efficient ETL processes. You will work with data platforms, databases, and cloud environments (Azure, GCP, AWS), integrating ML models where applicable.

The role requires 2–5 years of experience, strong problem-solving, stakeholder communication, and a bachelor’s degree in a computing/engineering field.