مهندس بيانات📣 إعلان

في أعمال السيد

منذ 23 يوم

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

Position Overview
Master Works is seeking a skilled Data Engineer to join our team. The ideal candidate will have a strong background in data engineering best practices and big data technologies. This role involves designing, developing, and maintaining data pipelines, optimizing data processing performance, and collaborating with data scientists and analysts to ensure data quality and integrity.

Key Responsibilities

Data Pipeline Development: Design, develop, and maintain data pipelines using industry-standard tools and technologies.
ETL Processes: Extract, transform, and load (ETL) data from various sources into data warehouses and data lakes.
Performance Optimization: Optimize data processing performance and scalability to handle large volumes of data efficiently.
Data Quality: Collaborate with data scientists and analysts to ensure data quality, integrity, and accuracy.
Technical Expertise: Utilize proficiency in SQL and programming languages such as Python to develop data solutions and address technical challenges.

Requirements

Experience: +3 years of experience with big data technologies such as Hadoop, Spark, and Hive.
Data Modelling: Knowledge of data modelling and data warehousing concepts.
Programming Skills: Proficiency in SQL and Python programming.
Data Integration: Familiarity with data integration tools and techniques.

متطلبات الوظيفة

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وظائف مشابهة

مهندس بيانات

📣 إعلان

أيجكس

دوام كامل

Join Our Team as a Data Engineer
We are seeking a skilled and detail-oriented Data Engineer to become part of our exceptional team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support our data analytics and business intelligence initiatives.

Key Responsibilities:

Design, develop, and maintain robust ETL/ELT pipelines to ingest data from various sources.
Design and optimize scalable, secure data architectures (*, data lakes, data warehouses, real-time streaming systems).
Ensure data quality, integrity, and security across all systems.
Monitor and troubleshoot data pipeline performance and reliability.
Implement data governance best practices and ensure compliance with relevant data privacy regulations (*, GDPR, local laws).
Automate data workflows and repetitive tasks using scripting and orchestration tools to enhance operational efficiency.
Collaborate with cross-functional teams to understand data needs, provide access, and deliver integrated, automated solutions.
Translate business requirements into technical specifications and data models.
Enhance data storage and retrieval mechanisms for performance and cost-efficiency.
Maintain documentation for data systems and processes.
Contribute to the development of CI/CD pipelines for data infrastructure.
Evaluate and integrate new tools and technologies to improve data engineering capabilities.

Requirements: