AI Data Engineer
Role details
Job location
Tech stack
Job description
- Construct and maintain data pipelines, ETL processes, and data storage systems to facilitate efficient data collection, processing, and analysis.
- Collaborate with data scientists and analysts to ensure data quality and accessibility for data-driven decision-making.
- Work with senior management and technical teams to determine data requirements and best practices for data manipulation and storage.
- Design, implement, automate, and maintain large-scale enterprise data processes.
- Test programs or databases, correct errors, and make necessary modifications to optimize performance., * Opportunity to work on impactful projects supporting large-scale data initiatives.
- Collaborate with innovative teams in a dynamic environment.
- Gain experience with Azure cloud services and advanced data tools.
- Be part of a company recognized for diversity and inclusion.
- Potential for extension and career growth within the organization.
Upon completion of waiting period consultants are eligible for:
- Medical and Prescription Drug Plans
- Dental Plan
- Vision Plan
- Health Savings Account
- Health Flexible Spending Account
- Dependent Care Flexible Spending Account
- Supplemental Life Insurance
- Short Term and Long Term Disability Insurance
- Business Travel Insurance
- 401(k), Plus Match
- Weekly Pay
Requirements
Our client, a leading technology organization, is seeking an AI Data Engineer to join their team. As an AI Data Engineer, you will be part of the Data & Analytics Department supporting Data Engineering and Data Science teams. The ideal candidate will have strong analytical skills, excellent communication, and a proactive mindset, which will align successfully in the organization., Minimum 2 years' experience with Python. Minimum 2 years' experience with Azure. Minimum 2 years' experience with Data Engineering fundamentals (SQL, data pipelines, ETL)., * Bachelor's degree in computer science, computer engineering, or a related technical field.
- 2-4 years of applicable experience in data engineering or related roles.
- Experience with database technologies and knowledge of the ETL process.
- Proficiency in at least one scripting language such as Python or C#.
- Strong troubleshooting, problem-solving, and communication skills.