Data Engineer

Responsibilities

Collaborate with senior management and solution architects to contribute to data-oriented decisions across the organization.

Assist in the development and maintenance of scalable data pipelines, from data ingestion to analytics and machine learning.

Contribute to custom data pipelines and extractors, leveraging Python, Spark, and other technologies.

Support in shaping business decisions by offering insights into data technologies and architecture.

Be involved in the lifecycle of our data platforms, from architecture to production.

Assist in the evolution of data models, focusing on data discovery, mapping, and cleansing.

Adopt best practices for data extraction, under the guidance of senior team members.

Work closely with Data Scientists, Machine Learning Engineers, and other stakeholders to assist in operationalizing machine learning models.

Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field.

Minimum of 3-5 years experience in data engineering, with a focus on big data and cloud solutions.

Solid understanding of ETL design, both batch and real-time, and data modeling.

Proficiency in Python, Spark, SQL, and modern data processing algorithms.

Experience with Containerization & Cloud-native tools (e.g., Docker, Kubernetes) and Public / Hybrid Cloud technologies (e.g., Google Cloud Platform, Azure, AWS) is a plus.

Familiarity with real-time data processing and event streaming technologies like Kafka.

Experience working with REST API.

Understanding of DevOps practices and CI / CD methodologies.

Familiarity with Agile methodologies.

Saudi nationals only.

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