Data Engineer
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Key skills for this role
About the Role
ENEC Operations is seeking a versatile Data Engineer with 5-10 years of experience to design, build, and maintain data pipelines and machine learning models. The role requires expertise in data lakehouses like Databricks and Azure Fabric, and proficiency in Python, R, or SQL.
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
- Work closely with data scientists, analysts, and other stakeholders to ensure seamless integration of data and models
- Stay up to date with the latest advancements in data engineering and machine learning
- Participate in training and development opportunities to enhance skills and knowledge
Requirements
- 5 10 years of experience in data engineering and machine learning
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field
- 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.
- This role requires a deep understanding of data lakehouses, such as Databricks and Azure Fabric, and the ability to work collaboratively with cross functional teams to deliver data driven solutions.
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.
- Work closely with data scientists, analysts, and other stakeholders to ensure seamless integration of data and models.
- Stay up to date with the latest advancements in data engineering and machine learning.
- Participate in training and development opportunities to enhance skills and knowledge.
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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