Job Description
- Analyze engineering, business, and other data processing problems to develop and implement solutions to complex application problems, improve existing computer systems, and review computer system capabilities and workflow.
- Design, develop, modify, and implement ETL-based data solutions for business applications leveraging geospatial, analytical, and statistical methods in collaboration with statistical and product teams.
- Develop and design scalable database structures and ensure their stability, reliability, and performance and work with other developers.
- Test new product solutions and tools including debugging, using best practices, and suggesting new standards to improve the efficiency of current processes.
- Perform Microsoft SQL and cloud-based SQL programming and automation using tools such as SQL Server Management Studio, Alteryx, S3, and Redshift.
- Provide expertise and technical support to the data science, sales, and product teams to manage iterations and preserve client success.
- Execute Microsoft SQL Server DBA-related tasks.
- Write and maintain user documentation in accordance with team practices.
- Bachelor’s degree (U.S. or foreign equivalent) in Business Analytics, Information Technology, Information Systems, Computer Science, Computer Engineering or a related technical field and five (5) years of experience in the job offered or a related database engineering or database administration role (will also accept one (1) year of experience in a related database engineering or database administration role for each missing year of bachelor's degree-level education).
- Prior experience must include five (5) years of experience in/with: implementing, maintaining, and performance tuning Transact-SQL stored procedures and complex query writing; designing databases and schemas using Microsoft SQL; performing automation, data integration, identifying patterns, and performance evaluation for databases and other external data sources using Alteryx or equivalent ETL software; and working with Business-To-Business (B2B), Consumer Computer Assisted Web Interview (CAWI) and Computer Assisted Telephone Interview (CATI) survey-based studies; and creating and modifying Alteryx workflows and Analytical applications.
Date Posted
04/17/2024
Views
7
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