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Software Engineer, Python Jobs
Company | Enterprise Holdings |
Address | , St. Louis, 63105, Mo |
Employment type | FULL_TIME |
Salary | |
Expires | 2023-07-30 |
Posted at | 11 months ago |
We operate Enterprise Rent-A-Car National Car Rental and Alamo Rent A Car brands via more than 9,500 fully staffed neighborhood and airport offices, including franchisee branches, in nearly 100 countries and territories.
As an Enterprise employee, we offer an excellent package with market-competitive pay, comprehensive healthcare packages, 401k matching & profit sharing, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential.
This position is open to candidates who wish to work from home (WFH). Employees who choose virtual / remote work should have an adequate space to serve as their home office. #LI-REMOTE
Responsibilities:
We have an exciting opportunity for a Software Engineer on the Cloud Data Engineering team! As a Software Engineer, you will be responsible for using your technical knowledge to solve business problems. We are looking for a talented individual that can serve as a subject matter expert in their area of focus and represent their department on complex assignments. You will be responsible for evaluating elements of technologies effectiveness through requirements gathering, testing, research and investigation and make recommendations for improvements that result in increased quality and effectiveness. You will be required to listen to and evaluate customer needs to determine and provide high quality solutions that align with customer expectations.
In this role on the Cloud Data Engineering team, you will be a part of a team responsible for migrating existing data platform solutions to the cloud. You will also collaborate with others to develop new data pipelines. As a data engineer in the Cloud Data Engineering team, you will need to work in a data first mindset. You will use Microsoft Azure Cloud PaaS technologies to engineer our data solutions in a way that allows for us to optimize our information, make better decisions, and meet our customer’s needs. If you have a passion for engineering, working with massive amounts of data and empowering smart business decisions, this is the role for you.
Qualifications:
Required:
- Must be able to both collaborate in a team-oriented environment and work independently with direction
- Must have 1 or more years data engineering experience working with large datasets and complex data environments, processes, and associated solutions
- Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
- Must have strong troubleshooting and problem-solving skills, including debugging multi-threaded applications
- Experience with configuration management and build automation capabilities such as Git/Jenkins
- Must be committed to incorporating security into all decisions and daily job responsibilities
- Must have 1 or more years’ experience writing and tuning complex SQLs, and the ability to analyze and make recommendations on results
- Must have good communication skills to effectively communicate with various IT teams and business representatives
- Must have 1 or more years development experience in one of the following languages: Python, Scala and/or Java 7 above
- Must have 1 or more years’ experience in full lifecycle development and end-to-end testing
Preferred:
- Experience with API development
- Experience with Azure, AWS, or other Public Cloud environments
- Prior experience leading large-scale projects
- Experience with Microsoft Azure platform technologies like Databricks applications, Event Hub, Data Factory, Azure SQL, Synapse Analytics, Delta Lake, Cosmos DB, or DevOps
- Experience with Big Data solutions and no SQL DBMSs
- Knowledge and working experience with Agile methodologies
- Bachelor's degree in Computer Science, Computer Information Systems, Management Information Systems, or related field
- Prior experience with EHI IT rental or vehicle domain knowledge (preferred, not required)
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