Engineering

data engineer in Riyadh gender female with 5000 sar

mixed_assesssment_test_v1

Riyadh, Saudi Arabia
دوام كامل, متوسط الأقدمية
Remote: No

وصف الشركة

Jobs for Humanity is partnering with mixed_assesssment_test_v1 to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.

Company Name: mixed_assesssment_test_v1

وصف الوظيفة

We are seeking a skilled Data Engineer to join our software engineering team in Riyadh. In this hands-on technical role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that power our analytics and software applications. This is an excellent opportunity for a data engineering professional who thrives on solving complex data challenges and ensuring reliable, efficient data flow across the organization.

Job Purpose

The primary purpose of this Data Engineer role is to design, build, and maintain scalable data pipelines and infrastructure within a software engineering team in Riyadh. The role focuses on ensuring reliable data flow for analytics and software applications through expertise in ETL processes, database management, and big data technologies.

Job Duties and Responsibilities
  • Design, build, and maintain scalable data pipelines and infrastructure
  • Implement and manage ETL processes for reliable data extraction, transformation, and loading
  • Manage and optimize both SQL and NoSQL database systems
  • Develop data engineering solutions using Python or Scala
  • Work with cloud platforms (AWS or Azure) for scalable data processing
  • Utilize big data tools such as Apache Spark or Hadoop for large-scale data processing
  • Ensure reliable and efficient data flow for analytics and software applications
  • Collaborate with the software engineering team to support data-driven initiatives

مؤهلات الوظيفة

Required Qualifications
  • ETL Processes
  • Database Management
  • Python
  • Scala
  • Cloud Platforms
  • Big Data Tools
  • Data Pipeline Design
  • SQL
  • NoSQL
  • Apache Spark