Data Engineer

🏢 Masterworks
📍 Saudi ArabiaFull-timeOn-site
📅 Posted: 3w ago🔄 Updated: 3w ago
CV%
✨ AI Summary
Masterworks is seeking a Data Engineer in Riyadh, Saudi Arabia. The role involves collecting and integrating data from various sources, designing and implementing efficient data pipelines, managing data storage, and ensuring data quality and integrity. A key responsibility is designing ETL processes to transform raw data for analysis. The position requires experience with big data technologies like Hadoop and Spark, NoSQL databases (MongoDB, Cassandra), cloud platforms (AWS, Azure, Google Cloud), distributed systems, and streaming technologies like Apache Kafka. Requirements include Arabic nationality for better communication and understanding of Arabic data content, and preferably 5+ years of experience in data engineering. The job is a permanent, full-time position.
Required Skills
Information Technology
NoSQLAI Integration
Other
Streaming Data
Business, Sales & Management
HR Management
Requirements
Arabic nationality is preferred for better communication and understanding of Arabic data content. Requires 5+ years of experience in data engineering.
Description
Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.Data Engineer Roles and Responsibilities: Data Collection and Integration: Data engineers collect data from various sources, including databases, APIs, external data providers, and streaming sources. They must design and implement efficient data pipelines to ensure a smooth flow of information into the data warehouse or storage system Data Storage and Management: Once the data is collected, data engineers are responsible for its storage and management. This involves choosing appropriate database systems, optimizing data schemas, and ensuring data quality and integrity. They also must consider scalability and performance to handle large volumes of data ETL (Extract, Transform, Load) Processes: ETL is a fundamental process in data engineering. Data engineers design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts Big Data Technologies: In today's data landscape, dealing with big data is the norm rather than the exception. Data engineers work with big data technologies such as Hadoop and Spark to efficiently process and analyze massive datasets NoSQL Databases: In addition to traditional relational databases, data engineers often work with NoSQL databases like MongoDB and Cassandra, which are well-suited for handling unstructured or semi-structured data Cloud Computing: Cloud platforms like AWS, Azure, and Google Cloud have become the backbone of modern data infrastructure. Data engineers leverage these platforms to build scalable and cost-effective data solutions Distributed Systems: Data engineering often involves distributed systems architecture to handle huge data volumes and ensure fault tolerance. Understanding how distributed systems work is essential for data engineers. 8. Streaming Data: Real-time data processing is crucial in many industries. Data engineers work with streaming technologies like Apache Kafka to handle and analyze data as it flows inRequirementsNationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.preferably 5+ years of experience.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00