Principal Data Engineer
| Company | Self Financial |
|---|---|
| Location | Austin, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Expert or higher |
Requirements
- 10+ years of experience with database development, database integration, and data analytics tools
- 10+ years of experience designing and implementing complex Data Warehouse and Data Lake data models (Kimball)
- Proven experience with technical leadership with a data engineering team
- Willingness to embrace the responsibilities of team leadership and accountability for team results
- Expertise in managing Data ETL/ELT with large data sets
- Experience with columnar data structures such as Amazon RedShift
- Extensive experience with AWS data warehousing tools
- Experience with common software engineering tools such as Git, JIRA, Confluence and similar platforms
- Expertise with Apache Airflow and Python
- Excellent listening, interpersonal, written, and oral communication skills
Responsibilities
- Provide technical leadership for the operations of the Data Engineering team at Self Financial
- Make design decisions regarding the architecture of the data environment
- Provide guidance on tools and processes
- Collaborate with and support data customers
- Provide technical mentorship for the team
- Collaborate closely with Product Management and data customers to translate Self Financial’s strategic vision into actionable projects
- Provide leadership in data architecture design, platform design, process design, and tool selection and implementation for the Data Engineering technology stack
- Create physical and logical data models using large, complex datasets
- Manage data pipelines and ETL/ELT processes using SQL and Python
- Establish tools and processes to manage data lifecycle and quality standards
Preferred Qualifications
-
No preferred qualifications provided.