Data Engineer
| Company | Apexon |
|---|---|
| Location | East Lansing, MI, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Expert or higher |
Requirements
- 12+ years of experience in developing complex database systems.
- 8+ years of experience with Databricks, Elastic Search and Kibana, Python/Scala, and Oracle.
- 5+ years of experience with ETL processes and data pipelines, AWS Cloud, data warehousing and data visualization tools, CMM/CMMI Level 3 methods, and Agile development practices, including test-driven development.
Responsibilities
- Lead development of scalable, high-performance solutions using AWS.
- Design and maintain robust ETL pipelines and manage data workflows.
- Implement and manage Databricks, Elastic Search, and Kibana.
- Write clean and efficient code in Python or Scala.
- Work with Oracle databases, CI/CD pipelines (Azure DevOps), and source control (Git).
- Create design documentation, perform code reviews, and contribute to Agile ceremonies.
- Support other critical applications and mentor development teams.
Preferred Qualifications
- 3+ years of experience or knowledge with CI/CD pipelines using Azure DevOps.