Data & AI - Data Engineer

Job Description: H&PS

CL 08

" What type of education is needed for this position? Bachelor's Degree Minimum

" Work location: Nashville

" Will this role work: Remote

" Does this role require vaccination mandate? N/A

" Does the resource have to be Local: No. Remote is Acceptable

" Visa Restrictions? No

" Will the client pay for travel and expenses? No and Not Applicable

" Is industry experience needed for this role and why? Not necessary, but nice to have

" What are must-have skills for this role

• Ideal is a resource with SAS experience
• Experience in Data Migrations and Proficiency in building and optimizing Data Pipelines
• Experience designing and developing data solutions
• Knowledge of ETL (Extract, Transform, Load) processes
• Experience in making key strategic decisions for data management
• Intermediate - Expert level of experience writing SQL and Python
  
  

" Years of experience required for each skill? 5

" What are some nice-to-have skills:

• Data migration experience at an enterprise level
• Experience as a SAS administrator
• 7 years of SAS experience
  
  

" What are the chances for extension? N/A

" Job description:

• Role Description: The SAS Migration Engineer will support a development workstream focusing on transitioning SAS processes from one enterprise system to another. This role involves close collaboration with the Product Manager and Engineering Lead to manage tasks in and out of Jira, ensuring timely completion of work. The engineer will be responsible for the technical execution of SAS migrations, troubleshooting issues, and regularly reporting progress to stakeholders. Strong organizational skills and proficiency in SAS are essential for success in this role.
• Responsibilities: As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Expert proficiency in SAS Analytics is required. Advanced level of proficiency in Statistical Analysis Systems (SAS) Programming is recommended. Advanced proficiency in Data Migrations, Data Engineering, Data Pipelines, and Data Processing is suggested.
• Develop innovative data solutions to enhance data generation and processing
• Implement advanced ETL processes for efficient data migration
• Analyze and improve data quality across systems and contribute to strategic decisions for data management and engineering