Data Engineer

Data
Mid-Level Software Engineer
In-Person
3+ years of experience
AI · Enterprise SaaS

Description For Data Engineer

Master-Works is seeking a skilled Data Engineer to join their team in Riyadh, Saudi Arabia. This role combines traditional data engineering with modern MLOps practices, offering an exciting opportunity to work with cutting-edge technologies and frameworks.

The ideal candidate will bring 3+ years of experience in data engineering, with a strong focus on MLOps and data pipeline development. You'll be responsible for designing and maintaining scalable data pipelines, implementing MLOps best practices, and managing cloud-based data infrastructure. The role requires expertise in Python, SQL, and various cloud platforms (AWS, Azure, Google Cloud).

As a Data Engineer at Master-Works, you'll work closely with data scientists, analysts, and product teams to deliver robust data solutions. You'll be involved in every aspect of the data lifecycle, from initial collection to processing and storage, ensuring data integrity and availability for analytics and machine learning models.

The position offers the opportunity to work with modern technologies including Docker, Kubernetes, and DataIKU, while staying at the forefront of data engineering and machine learning advancements. You'll play a crucial role in building and maintaining the data infrastructure that powers the company's analytics and machine learning capabilities.

This role is perfect for someone who combines strong technical skills with collaborative abilities, as you'll be working across teams to understand business requirements and implement effective data solutions. The position requires a bachelor's or master's degree in a relevant field and offers the chance to work in a dynamic, on-site environment in Riyadh.

If you're passionate about data engineering, excited about MLOps, and ready to take on challenging projects that impact business decisions, this role offers the perfect opportunity to advance your career while working with cutting-edge technologies and frameworks.

Last updated 2 days ago

Responsibilities For Data Engineer

  • Design, build, and maintain scalable data pipelines for the collection, processing, and storage of large datasets
  • Ensure efficient data flow across various systems, ensuring the integrity and availability of data for analytics and machine learning models
  • Implement MLOps best practices for model development, deployment, and monitoring in production environments
  • Collaborate with data scientists and machine learning teams to automate workflows and ensure efficient model lifecycle management
  • Manage and optimize data infrastructure on cloud platforms
  • Implement and maintain data warehouses, data lakes, and other data storage solutions
  • Collaborate with cross-functional teams to understand business requirements and provide data solutions
  • Provide ongoing support for data pipelines, monitor performance, and resolve data-related issues
  • Stay updated on the latest trends in data engineering and machine learning technologies

Requirements For Data Engineer

Python
Kubernetes
  • 3+ years of experience in data engineering or a related field
  • Expertise in MLOps (Machine Learning Operations)
  • Preferred experience or certification in DataIKU
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
  • Strong problem-solving skills and ability to work independently and in a collaborative team environment
  • Proficiency in Python, SQL, and cloud technologies (AWS, Azure, or Google Cloud)
  • Experience with big data technologies (Hadoop, Spark, etc.)
  • Familiarity with containerization technologies such as Docker and Kubernetes

Interested in this job?

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