Data Engineer

1 week ago

الرياض, Saudi Arabia Master-Works Full time

**Experience Required**:

- 3+ years of experience in data engineering or a related field.
- Expertise in MLOps (Machine Learning Operations).
- Preferred experience or certification in DataIKU.

**Key Skills**:

- Strong knowledge of data engineering principles and best practices.
- Proficiency in MLOps frameworks and tools for the development, deployment, and monitoring of machine learning models.
- Experience with cloud platforms (AWS, Azure, Google Cloud) and their data engineering services.
- Familiarity with data integration, ETL processes, and data pipelines.
- Strong coding skills in Python, SQL, and other relevant programming languages.
- Experience with big data technologies (Hadoop, Spark, etc.).
- Familiarity with containerization technologies such as Docker and Kubernetes.

**Responsibilities**:

- **Data Pipeline Development**:
- 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.
- **MLOps Implementation**:
- 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.
- **Data Infrastructure Management**:
- Manage and optimize data infrastructure on cloud platforms to ensure efficient data processing, storage, and retrieval.
- Implement and maintain data warehouses, data lakes, and other data storage solutions.
- **Collaboration and Support**:
- Collaborate with cross-functional teams including data scientists, analysts, and product teams to understand business requirements and provide data solutions.
- Provide ongoing support for data pipelines, monitor performance, and resolve any data-related issues.
- **Tool and Technology Expertise**:
- Stay updated on the latest trends in data engineering and machine learning technologies.
- Leverage DataIKU (or similar tools) to streamline data workflows, automate processes, and enhance overall efficiency.

**Qualifications**:

- Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- 3+ years of experience in data engineering, with a focus on MLOps and data pipeline development.
- Certification or hands-on experience with DataIKU is highly preferred.
- Strong problem-solving skills and the ability to work independently and in a collaborative team environment.
- Proficiency in Python, SQL, and cloud technologies (AWS, Azure, or Google Cloud).

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