Data Engineer - Remote

Posted 1 week ago

Data Analysis

Full Time

Egypt

Data Pipeline Development

Real-time Data Processing

BIG Data Technologies

Data Governance

AI/ML Solutions

Overview

The Data Engineer will design, build, and optimize Azure and Databricks-based data infrastructure, focusing on developing scalable ETL pipelines and contributing to AI/ML-powered solutions.

In Short

Design and maintain scalable data pipelines.
Develop real-time and batch data processing frameworks.
Implement ETL/ELT workflows for high availability.
Optimize data storage and retrieval.
Ensure cost-efficient data infrastructure.
Collaborate with Data Architects and Product teams.
Monitor performance issues in data pipelines.
Support eCommerce-related data solutions.
Develop data models and APIs for analytics.
Continuously optimize data engineering solutions.

Requirements

5+ years of experience as a Data Engineer.
Strong expertise in data pipeline development and ETL workflows.
Experience with big data technologies.
Proficiency in Python and SQL.
Knowledge of data governance and compliance best practices.
Experience in optimizing data performance in cloud environments.

Benefits

Opportunity to make an impact at a fast-growing SaaS company.
Up to 3 weeks “work from anywhere” per year.
Global and customized onboarding program.
Hybrid working model – 3 days from the office, 2 days from home.

Sana Commerce

Sana Commerce is a dynamic Dutch powerhouse revolutionizing the e-learning landscape with its award-winning authoring tool, Easygenerator. With over 50,000 users in more than 150 countries, including major corporations like Kellogg’s, T-Mobile, and Walmart, the company is committed to transforming how knowledge is shared globally. Easygenerator fosters a culture of innovation, excellence, and experimentation, and is rapidly expanding with five core locations worldwide. The company values its people as the key to its success and offers a stimulating environment for personal and professional growth.

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