Data Engineer
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Key skills for this role
About the Role
Emirates Nuclear Energy seeks a versatile Data Engineer with 5-10 years of experience in data engineering and machine learning. The role involves designing scalable data pipelines, developing ML models, and working with Databricks and Azure Fabric.
Key Skills for This Role
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes
- Work with large datasets and data lakehouses, including Databricks and Azure Fabric
- Ensure data quality, integrity, and security across all data pipelines
- Optimize data storage and retrieval processes for performance and efficiency
- Develop, implement, and optimize machine learning models and algorithms
- Perform data analysis and model tuning to improve accuracy and performance
- Deploy machine learning models into production environments
- Monitor and maintain the performance of deployed models
- Collaborate with cross functional teams to understand business requirements and deliver data driven solutions
- Stay up to date with the latest advancements in data engineering and machine learning
Requirements
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field
- 5 10 years of experience in data engineering and machine learning
- Proficiency in programming languages such as Python, R, or SQL
- Experience with data lakehouses, particularly Databricks and Azure Fabric
- Strong analytical and problem solving skills
- Excellent communication and teamwork abilities
- Ability to work independently and manage multiple projects simultaneously
Full Job Posting
Job Purpose
- We are seeking a versatile and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and machine learning, with the ability to design, build, and maintain data pipelines, as well as develop and deploy machine learning models.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes
- Work with large datasets and data lakehouses, including Databricks and Azure Fabric
- Ensure data quality, integrity, and security across all data pipelines
- Optimize data storage and retrieval processes for performance and efficiency
- Develop, implement, and optimize machine learning models and algorithms
- Perform data analysis and model tuning to improve accuracy and performance
- Deploy machine learning models into production environments
- Monitor and maintain the performance of deployed models
- Collaborate with cross functional teams to understand business requirements and deliver data driven solutions
- Stay up to date with the latest advancements in data engineering and machine learning
Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field
Experience
- 5 10 years of experience in data engineering and machine learning
- Proficiency in programming languages such as Python, R, or SQL
- Experience with data lakehouses, particularly Databricks and Azure Fabric
- Strong analytical and problem solving skills
- Excellent communication and teamwork abilities
- Ability to work independently and manage multiple projects simultaneously
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