Unum is seeking a Data Engineer to design, build, and maintain data systems and pipelines that ensure data is accessible and optimized for analytics and insight generation. The role requires technical expertise in programming, database management, and data architecture, along with growing business acumen.
Requirements
- Experience with tools and platforms such as Teradata, Snowflake, Alteryx, and Python.
- Experience in Python.
- Exposure to DevOps best practice including CI/CD, process automation and optimization.
- Understanding of data architecture principles and related infrastructure requirements, covering on-prem and Cloud platforms.
- The ability to understand and present data, including a basic understanding of how the data will build towards a business solution.
- Experience in writing complex SQL queries that join multiple tables/databases.
- Experience exploring databases/tables or other legacy data content to identify best data sources to solve business problems.
Responsibilities
- Employ a variety of languages and tools to develop, construct, test and maintain data pipelines, ensuring they support the requirements of the business.
- Integrate varying sizes of data from different sources (including DB2, SQL Server, Web API and Teradata, Snowflake).
- Apply validation, aggregation, and reconciliation techniques to create a rich data framework.
- Work closely with the data scientists and business partners to understand the business problem they are trying to solve and the analytics solutions they plan to apply. Use this understanding to create appropriate data structures tailored for the specific problem.
- Create data assets that conform to scalability, extensibility, performance and maintainability requirements for the problem at hand. Promotes development of solutions following appropriate engineering process that is fit to purpose for different use scenarios.
- Understand and contribute to the evolution of the enterprise data architecture including the application of current and emerging data frameworks and tools (eg hosting data in Cloud).
- Support integration of solutions within existing business processes using automation techniques.
Other
- This position requires a minimum of 3 days in office in the following campus locations: Chattanooga, TN or Portland, ME.
- Bachelor’s degree in quantitative field is required, Master’s is preferred
- 2+ years of professional experience or equivalent relevant work experience preferred
- Demonstrated communication skills, experience in financial services, exposure to working with senior management and executive leadership, and attention to detail while effectively prioritizing work and managing multiple projects simultaneously.
- Ability to understand and explain a problem and identify and communicate an appropriate solution.
