Job Description
We are looking for a Data Engineer to join our technology organization. As a Data Engineer you will implement strategies for modernizing and remediating legacy platforms by leveraging existing tools as well as implementing new data platform capabilities. You will implement new technologies, design ETL processes, and administer databases. In addition, you will be part of the team developing critical insight into the company and supporting every function of the organization. You will take responsibility for identifying and solving issues concerning data management to improve data quality. You will be part of a high performing team working on mission critical projects with visibility across the organization.
Responsibilities
Design, develop , build, and own robust and high-performance data pipelines and APIs.
Gain a thorough understanding of the business and the data strategy to support that business.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, dbt and Azure technologies.
Take ownership of the data quality and articulate opportunities for continuous improvement, think of data as a product!
Define and document cloud solution architecture(s) including technical designs and diagrams.
Create and document unit test scripts.
Develop a strong customer focus, ownership, urgency, and drive.
Be a team player that everyone wants to work with.
Be a critical stakeholder in architectural decisions and evaluating systems implementations.
Troubleshoot and assist in resolving all issues pertaining to data management.
Qualifications
B.S. in Computer Science, Engineering or equivalent required
Experience with deploying Azure Infrastructure as Code and building CI/CD pipelines using GitHub /Azure DevOps and such other source control environments is required.
Azure cloud certified engineers will be preferred.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
Deep knowledge with Python
Job Posting Disclaimer
Fortegra will never request financial or sensitive information such as your bank account information, social security number, or other non-publicly available information for any purpose during the application and interview process. All official communications from our Talent Acquisition team will come from our email domain address “@fortegra.com”. If you receive a suspicious message, unsolicited job offer or would like to verify the legitimacy of any communication about a position, please contact our Human Resources department at HumanResources@fortegra.com.
Please be aware of job fraud(s) – all correspondence emails regarding your candidacy will come from our Fortegra.com email address. Thank you.